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74 Best Social Media Research Paper Topics

Whether in college or high school, you will come across research writing as a student. In most cases, the topic of research is assigned by your teacher/professor. Other times, students have to come up with their topic. Research writing in school is inescapable. It’s a task you are bound to undertake to fulfill your academic requirements. If you are in college, there are several topics for research depending on your discipline. For high school students, the topic is usually given. In this article, we focus on social media and topics about social media.

A social media paper is a research paper about social media that studies social media generally or an aspect of it. To write research papers on social media, you’ll need to conduct thorough research for materials and scholarly materials that’ll assist you. For social media, most of the scholarly works will be media-focused.

Sometimes, Professors or teachers ask students to write an essay or research a topic without narrowing it down. In that case, students will have to develop specific research topics. If you’re writing a paper on social media, we’ve provided you with helpful topics to consider for research.

How to Start a Social Media Research Paper

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Before giving a research writing, Professors and teachers believe students already know how to write one. Not every student knows how to write a research paper in most cases.

Research writing follows a systematic pattern, which applies to research on social media. Below is the pattern of a research paper to use;

Paper title
Introduction
Statement of problem
Research methodology
Research objective
Critical analysis
Results and discussion

Every research follows this basic pattern, and it also applies to your research paper on social media.

Social media has become a powerful tool for engagement of various kinds. Before now, social media was merely apps used for interpersonal affairs. Today, with the modification of digital technology, social media encompasses a lot more. Below are some social media topics to write about.

The impact of social media in promoting interpersonal relationships
A study on how social media is a vital tool for social change
Social media censorship: A new form of restriction on freedom of speech
The constantly growing oversharing nature of social media
Social media is a vital tool for political campaign
The proliferation of social media platforms into a buying space
The juxtaposition of personal engagement and business on social media platforms

There is a wide range of topics to coin from social media for college students because social media is a platform with diverse issues that can form into topics. Here are some research topics about social media to consider.

Breach of Privacy: A study on the ability of the government to monitor personal affairs on social media
A study of the toxicity brewing within social media
The increased cyberbullying perpetrated on social media platforms
The evolution of Twitter into a space for diverse conversations
A study of the emergence and growth of social media over the years
Effects of social media: How social media is breeding laziness amongst children
Social media as a distraction tool for students

If you are searching for interesting topics, there are many interesting research topics on social media. Examples of research paper topics that sound fun to choose from include;

A study on how the emergence of social media and social media advertising has infiltrated its primary purpose
An evaluation of how social media has created employment opportunities for people
Social media influence and its negative impact on society
Advertising on social media: Will influencer businesses take over advertising agencies?
A study on ways to improve advertisement for social media engagement
A look into how social media creates a distorted view of real life
Social media and real-life: Does social media obscure reality?

Research questions are helpful when carrying out research in a particular field. To know more about your thesis on social media, you will need to create research questions on social media to help inform your writing. Some social media research questions to ask are;

Are social media platforms designed to be addictive?
What is a social media Algorithm, and how to navigate it?
To what extent are personal data stored on social app databases protected?
Can social media owners avoid government monitoring?
Should parents allow their children to navigate social media before they are 15?
Have social media jobs come to stay, or are they temporary?
Is social media influencer culture overtaking celebrity culture?
To what extent can social media help to curb racism and homophobia?
Does social media exacerbate or curb discriminatory practices?
Is social media an effective tool for learning?

Everyone has access to social media apps until they’ve reached a certain age. There are several social media essay topics for high school students to write about. Some social media titles for essays include;

How social media affects the academic performance of students
Why the use of social media is prohibited during school hours
Why students are obsessed with Tiktok
Running a profitable social media business while in high school and the challenges
The dangers of overusing editing apps
A critical essay on how editing apps and filters promote an unrealistic idea of beauty
The death of TV: how social media has stolen student’s interest

The challenge students have with their topic ideas for research papers is that they’re broad. A good social media thesis topic should be narrowed down. Narrowing a topic down helps you during research to focus on an issue.

Some narrow social media topics for the research paper include;

A study of how social media is overtaking Television in entertainment
A study of how social media has overtaken traditional journalism
An evaluation of the rise of influencer culture on Instagram
YouTube and how it has created sustainable income for black content creators
A comparative study of social media managers and content creators
A study of the decline of Instagram since the emergence of Tiktok
How Twitter breeds transphobic conversations

There are several areas of social media to focus your research on. If you are looking for some social media marketing topics, below are some social media research paper topics to consider;

Influencer culture and a modified model of mouth-to-mouth marketing
The growth of video marketing on Instagram
Social media managers as an essential part of online marketing
A study on how social media stories are optimized for marketing
An analysis of social media marketing and its impact on customer behavior
An evaluation of target marketing on social media

There are so many topics to choose from in this aspect. Some social issues research paper topics to explore are;

The growth of cyberattacks and cyberstalking in social media
Social media and how it promotes an unrealistic idea of life
Social media and the many impacts it has on users and businesses
Social media detox: Importance of taking scheduled social media breaks
How social media enable conversation on social challenges

Writing a research paper on social issues touches on various areas. Some are challenging, while others are easier to navigate.

Below are some of the easy social issues topics to choose from.

The growing issue of women’s and trans people’s rights
Religious bigotry and how it affects social progress
Sustainable living and why it’s important to the society
The social impact of climate change and global warming

Social science is a broad discipline. If you are looking for social science essay topics, below are some social science topics for research papers to look into;

Consumerism and how it’s perpetrated on social media
How religious beliefs impact social relationships
Inflation and how it affects the economy of a nation
A study of the limited availability of work opportunities for minority groups
A look into the concept of “low wage” jobs

Research writing is not always technical or challenging. Sometimes, it can be fun to write. It all depends on your choice of topic. Below are some topics on social media that are fun to work on;

The importance of social media branding for small businesses
A look into the monetization of Instagram
User engagement and how it can be converted into business leads
The study of emojis and their role in social media engagement
From Instagram to Tiktok: the poaching nature of social media apps

Research writing on social media networking studies social networking and its design and promotion on social media platforms. Some research papers on social media networking are;

The impact of social media networking on business owners
Social media networking and how it impacts influencer culture
Social media and how it’s used to build and develop social relationships
How social media made social networking services easier

Social media research writing is one of the most interesting research to conduct. It cuts across several interesting areas. The writer can handle almost every aspect of the dissertation or thesis statement about social media . But, students who find it challenging should seek professional help. You can reach out to our expert team of writers to help you handle every element of your writing. We have the best on our team who are always ready to give you their best.

300+ Social Media Research Topics

Social media has become an integral part of our lives, and it has transformed the way we communicate, share information, and interact with each other. As social media platforms continue to evolve and gain popularity, they have also become a rich source of data for researchers. Social media research is a rapidly growing field that encompasses a wide range of topics , from understanding the psychological and social effects of social media to analyzing patterns of user behavior and identifying trends in online conversations. In this era of data-driven decision-making, social media research is more important than ever, as it provides insights into how we use and are influenced by social media. In this post, we will explore some of the most fascinating and relevant social media research topics that are shaping our understanding of this powerful medium.

Social Media Research Topics

Social Media Research Topics are as follows:

The effects of social media on mental health
The role of social media in political polarization
The impact of social media on relationships
The use of social media by businesses for marketing
The effects of social media on body image and self-esteem
The influence of social media on consumer behavior
The use of social media for education
The effects of social media on language use and grammar
The impact of social media on news consumption
The role of social media in activism and social change
The use of social media for job seeking and career development
The effects of social media on sleep patterns
The influence of social media on adolescent behavior
The impact of social media on the spread of misinformation
The use of social media for personal branding
The effects of social media on political participation
The influence of social media on fashion trends
The impact of social media on sports fandom
The use of social media for mental health support
The effects of social media on creativity
The role of social media in cultural exchange
The impact of social media on language learning
The use of social media for crisis communication
The effects of social media on privacy and security
The influence of social media on diet and exercise behavior
The impact of social media on travel behavior
The use of social media for citizen journalism
The effects of social media on political accountability
The role of social media in peer pressure
The impact of social media on romantic relationships
The use of social media for community building
The effects of social media on gender identity
The influence of social media on music consumption
The impact of social media on academic performance
The use of social media for social support
The effects of social media on social skills
The role of social media in disaster response
The impact of social media on nostalgia and memory
The use of social media for charity and philanthropy
The effects of social media on political polarization in developing countries
The influence of social media on literary consumption
The impact of social media on family relationships
The use of social media for citizen science
The effects of social media on cultural identity
The role of social media in promoting healthy behaviors
The impact of social media on language diversity
The use of social media for environmental activism
The effects of social media on attention span
The influence of social media on art consumption
The impact of social media on cultural values and norms.
The impact of social media on mental health
The impact of social media on mental health.
The impact of social media on body image and self-esteem.
The use of social media for political activism and social justice movements.
The role of social media in promoting cultural diversity and inclusivity.
The impact of social media on romantic relationships and dating.
The use of social media for customer service and support.
The impact of social media on mental health and well-being among young adults.
The impact of social media on political polarization and partisanship.
The use of social media for health communication and behavior change.
The role of social media in shaping public opinion and attitudes towards vaccination.
The impact of social media on political participation and civic engagement.
The impact of social media on political polarization and echo chambers.
The use of social media for political campaigning and the manipulation of public opinion.
The role of social media in shaping public attitudes towards vaccination and public health.
The impact of social media on news consumption and trust in journalism.
The use of social media for promoting sustainable fashion practices and ethical consumption.
The role of social media in influencing beauty standards and body image.
The impact of social media on the music industry and the role of social media influencers.
The use of social media for promoting mental health and well-being among healthcare professionals.
The role of social media in shaping public attitudes towards gun violence and gun control policies.
The impact of social media on social activism and advocacy.
The use of social media for promoting cross-cultural communication and intercultural understanding.
The role of social media in shaping public attitudes towards climate change and environmental policies.
The impact of social media on public health during the COVID-19 pandemic.
The use of social media for promoting financial literacy and access to financial services for low-income individuals.
The role of social media in shaping public attitudes towards immigration policies and refugee crises.
The impact of social media on political activism and social movements.
The use of social media for promoting digital literacy and technology education in developing countries.
The role of social media in shaping public attitudes towards gender and sexual orientation.
The impact of social media on consumer behavior in the food and beverage industry.
The use of social media for promoting mental health and well-being among first responders.
The role of social media in shaping public attitudes towards racial justice and police brutality.
The impact of social media on privacy concerns and data security.
The use of social media for promoting interfaith dialogue and religious tolerance.
The role of social media in shaping public attitudes towards income inequality and economic justice.
The impact of social media on the film and television industry and consumer behavior.
The use of social media for promoting mental health and well-being among military personnel.
The role of social media in shaping public attitudes towards privacy and data security.
The impact of social media on the hospitality industry and consumer behavior.
The use of social media for promoting intergenerational communication and understanding.
The role of social media in shaping public attitudes towards animal welfare and animal rights.
The impact of social media on the gaming industry and gamer behavior.
The use of social media for promoting digital literacy and technology skills among seniors.
The role of social media in shaping public attitudes towards renewable energy and sustainability.
The impact of social media on the advertising industry and consumer behavior.
The use of social media for promoting mental health and well-being among children and adolescents.
The role of social media in shaping public attitudes towards online privacy and security.
The impact of social media on the beauty industry and consumer behavior.
The use of social media for promoting cultural preservation and heritage tourism.
The role of social media in shaping public attitudes towards criminal justice reform.
The impact of social media on the automotive industry and consumer behavior.
The use of social media for promoting mental health and well-being among marginalized communities.
The role of social media in shaping public attitudes towards sustainable development goals.
The impact of social media on the fashion industry and consumer behavior.
The use of social media for promoting intercultural communication in the workplace.
The role of social media in shaping public attitudes towards mental health policies.
The impact of social media on the travel industry and sustainable tourism practices.
The use of social media for health information seeking and patient empowerment.
The role of social media in promoting environmental activism and sustainable practices.
The impact of social media on consumer behavior and brand loyalty.
The use of social media for promoting education and lifelong learning.
The role of social media in shaping public opinion and attitudes towards mental health issues.
The impact of social media on the fashion industry and fast fashion practices.
The use of social media for promoting social entrepreneurship and social innovation.
The role of social media in shaping public opinion and attitudes towards gun control.
The impact of social media on the mental health and well-being of adolescents.
The use of social media for promoting intercultural exchange and understanding.
The role of social media in shaping public opinion and attitudes towards climate change.
The impact of social media on political advertising and campaign strategies.
The use of social media for promoting healthy relationships and communication skills.
The role of social media in shaping public opinion and attitudes towards police brutality and racial justice.
The use of social media for promoting financial literacy and personal finance management.
The role of social media in shaping public opinion and attitudes towards LGBTQ+ rights.
The impact of social media on the music industry and fan engagement.
The use of social media for promoting mental health and well-being among marginalized populations.
The role of social media in shaping public opinion and attitudes towards immigration and border policies.
The impact of social media on the professional development and networking of journalists.
The use of social media for promoting community building and social cohesion.
The role of social media in shaping public opinion and attitudes towards healthcare policies.
The impact of social media on the food industry and consumer behavior.
The role of social media in shaping public opinion and attitudes towards gender equality.
The impact of social media on the sports industry and athlete-fan interactions.
The use of social media for promoting financial inclusion and access to banking services.
The role of social media in shaping public opinion and attitudes towards animal welfare.
The use of social media for promoting mental health and well-being among college students.
The role of social media in shaping public opinion and attitudes towards privacy and data security.
The role of social media in shaping public opinion and attitudes towards income inequality and poverty.
The use of social media for promoting digital literacy and technology skills.
The role of social media in shaping public opinion and attitudes towards renewable energy.
The use of social media for promoting mental health and well-being among elderly populations.
The role of social media in shaping public opinion and attitudes towards online privacy and security.
The role of social media in shaping public opinion and attitudes towards criminal justice reform.
The impact of social media on online activism and social movements.
The use of social media for business-to-business communication and networking.
The role of social media in promoting civic education and engagement.
The impact of social media on the fashion industry and sustainable fashion practices.
The use of social media for promoting cultural diversity and inclusion.
The role of social media in shaping public opinion and attitudes towards police reform.
The impact of social media on the mental health and well-being of frontline healthcare workers.
The use of social media for promoting financial literacy and investment education.
The role of social media in promoting environmental sustainability and conservation.
The impact of social media on body image and self-esteem among adolescent girls.
The use of social media for promoting intercultural dialogue and understanding.
The role of social media in shaping public opinion and attitudes towards immigration policies and refugees.
The impact of social media on the professional development and networking of healthcare professionals.
The use of social media for promoting community resilience and disaster preparedness.
The role of social media in shaping public opinion and attitudes towards the Black Lives Matter movement.
The impact of social media on the music industry and artist-fan interactions.
The use of social media for promoting healthy eating habits and nutrition education.
The role of social media in promoting mental health and well-being among college students.
The impact of social media on the entertainment industry and consumer behavior.
The use of social media for promoting workplace diversity and inclusion.
The role of social media in shaping public opinion and attitudes towards climate change policies.
The impact of social media on the travel industry and consumer behavior.
The use of social media for promoting mental health and well-being among military veterans.
The role of social media in promoting intergenerational dialogue and understanding.
The impact of social media on the professional development and networking of educators.
The use of social media for promoting animal welfare and advocacy.
The role of social media in shaping public opinion and attitudes towards reproductive rights.
The impact of social media on the sports industry and fan behavior.
The use of social media for promoting financial inclusion and literacy among underprivileged populations.
The role of social media in promoting mental health and well-being among LGBTQ+ populations.
The impact of social media on the food and beverage industry and consumer behavior.
The use of social media for promoting interfaith dialogue and understanding.
The role of social media in shaping public opinion and attitudes towards gun ownership.
The use of social media for promoting mental health and well-being among caregivers.
The role of social media in promoting sustainable tourism practices.
The impact of social media on the gaming industry and gamer culture.
The use of social media for promoting cultural heritage tourism and preservation.
The role of social media in shaping public opinion and attitudes towards public transportation policies.
The use of social media for promoting mental health and well-being among homeless populations.
The role of social media in promoting mental health and well-being among immigrants and refugees.
The use of social media for promoting financial literacy and entrepreneurship among youth.
The use of social media for political mobilization and participation in authoritarian regimes.
The role of social media in shaping public opinion and attitudes towards immigration policies.
The impact of social media on the professional development of teachers and educators.
The use of social media for emergency communication during public health crises.
The role of social media in promoting LGBTQ+ rights and advocacy.
The impact of social media on body positivity and self-acceptance among women.
The use of social media for public diplomacy and international relations.
The impact of social media on the mental health and well-being of marginalized communities.
The use of social media for crisis management and disaster response in the corporate sector.
The role of social media in promoting environmental activism and conservation.
The impact of social media on the professional development and networking of entrepreneurs.
The use of social media for medical education and healthcare communication.
The role of social media in promoting cultural exchange and understanding.
The impact of social media on social capital and civic engagement among young adults.
The use of social media for disaster preparedness and community resilience.
The role of social media in promoting religious pluralism and tolerance.
The use of social media for promoting healthy lifestyles and wellness.
The use of social media for fundraising and philanthropy in the non-profit sector.
The role of social media in promoting interfaith dialogue and understanding.
The impact of social media on the travel and tourism industry and consumer behavior.
The use of social media for customer engagement and brand loyalty in the retail sector.
The impact of social media on the political attitudes and behaviors of young adults.
The use of social media for promoting gender equality and women’s empowerment.
The use of social media for promoting animal welfare and adoption.
The role of social media in promoting mental health and well-being among the elderly.
The impact of social media on the art industry and artist-fan interactions.
The use of social media for promoting healthy food choices and nutrition.
The role of social media in shaping public opinion and attitudes towards income inequality.
The use of social media for promoting political satire and humor.
The role of social media in promoting disability rights and advocacy.
The use of social media for promoting voter registration and participation.
The role of social media in promoting entrepreneurship and small business development.
The use of social media for promoting mental health and well-being among incarcerated populations.
The role of social media in shaping public opinion and attitudes towards gun violence prevention.
The use of social media for promoting cultural heritage and preservation.
The impact of social media on mental health and well-being.
The relationship between social media use and academic performance.
The use of social media for emergency communication during natural disasters.
The impact of social media on traditional news media and journalism.
The role of social media in shaping public opinion and discourse.
The use of social media for online learning and education.
The impact of social media on the fashion and beauty industry.
The use of social media for brand awareness and marketing.
The impact of social media on privacy and security.
The use of social media for job searching and recruitment.
The impact of social media on political polarization and extremism.
The use of social media for online harassment and cyberbullying.
The role of social media in promoting environmental awareness and sustainability.
The impact of social media on youth culture and identity formation.
The use of social media for travel and tourism marketing.
The impact of social media on consumer behavior and decision-making.
The role of social media in shaping beauty standards and body positivity.
The use of social media for crisis communication and disaster response.
The impact of social media on the music industry.
The use of social media for fundraising and philanthropy.
The role of social media in promoting healthy lifestyles and wellness.
The impact of social media on sports fandom and fan behavior.
The use of social media for political lobbying and advocacy.
The impact of social media on the entertainment industry.
The use of social media for healthcare communication and patient engagement.
The role of social media in promoting gender equality and feminism.
The impact of social media on the restaurant and food industry.
The use of social media for volunteerism and community service.
The role of social media in promoting religious tolerance and interfaith dialogue.
The impact of social media on the art industry.
The use of social media for political satire and humor.
The role of social media in promoting disability awareness and advocacy.
The impact of social media on the real estate industry.
The use of social media for legal advocacy and justice reform.
The role of social media in promoting intercultural communication and understanding.
The impact of social media on the automotive industry.
The use of social media for pet adoption and animal welfare advocacy.
The role of social media in promoting mental health and wellness for marginalized communities.
The impact of social media on the retail industry.
The use of social media for promoting civic engagement and voter participation.
The impact of social media on the film and television industry.
The use of social media for fashion and style inspiration.
The role of social media in promoting activism for human rights and social issues.
The effectiveness of social media for political campaigns.
The role of social media in promoting fake news and misinformation.
The impact of social media on self-esteem and body image.
The impact of social media on romantic relationships.
The use of social media for online activism and social justice movements.
The impact of social media on traditional news media.
The impact of social media on interpersonal communication skills.
The impact of social media on the fashion industry.
The use of social media for social support and mental health awareness.
The use of social media for political lobbying and activism.
The impact of social media on travel and tourism behavior.
The use of social media for customer feedback and market research.
The impact of social media on the restaurant industry.
The role of social media in political activism
The effect of social media on interpersonal communication
The relationship between social media use and body image concerns
The impact of social media on self-esteem
The role of social media in shaping cultural norms and values
The use of social media by celebrities and its impact on their image
The role of social media in building and maintaining personal relationships
The use of social media for job searching and recruitment
The impact of social media on children and adolescents
The use of social media by political candidates during election campaigns
The role of social media in education
The impact of social media on political polarization
The use of social media for news consumption
The effect of social media on sleep habits
The use of social media by non-profit organizations for fundraising
The role of social media in shaping public opinion
The influence of social media on language and communication patterns
The use of social media in crisis communication and emergency management
The role of social media in promoting environmental awareness
The influence of social media on music preferences
The impact of social media on body positivity movements
The role of social media in shaping beauty standards
The influence of social media on sports fandom
The use of social media for health promotion and education
The impact of social media on political participation
The role of social media in shaping parenting practices
The influence of social media on food preferences and eating habits
The use of social media for peer support and mental health advocacy
The role of social media in shaping religious beliefs and practices
The influence of social media on humor and comedy
The use of social media for online activism and social justice advocacy
The impact of social media on public health awareness campaigns
The role of social media in promoting cultural diversity and inclusion
The influence of social media on travel behavior and decision-making
The use of social media for international diplomacy and relations
The impact of social media on job satisfaction and employee engagement
The role of social media in shaping romantic preferences and dating behavior
The influence of social media on language learning and language use
The use of social media for political satire and humor
The impact of social media on social capital and community building
The role of social media in shaping gender identity and expression
The influence of social media on fashion and beauty advertising.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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234 Social Media Research Topics & Ideas

18 January 2024

last updated

Social media research encompasses a broad range of different topics that delve into the ever-evolving digital landscape. People investigate the impact of social platforms on society, exploring subjects, such as online identity formation, self-presentation, the psychology of virtual interactions, and others. Additionally, studies examine the influence of social media on politics, activism, and public opinion, uncovering patterns of information dissemination and polarization. Privacy concerns, cyberbullying, and online safety are also explored in-depth, seeking strategies to mitigate the associated risks. In this article, people can find many social media research topics, ideas, and examples.

Hot Social Media Research Topics

Impacts of Social Media and Internet Algorithms on User Experience
The Rise of TikTok: A Socio-Cultural Analysis
Dealing With Cyberbullying: Strategies and Solutions
Understanding the Phenomenon of Social Media ‘Cancel Culture’
NFTs and Social Media: The Future of Digital Art?
Ethical Concerns in the Era of Influencer Marketing
Social Media’s Role in Accelerating E-Commerce Growth
Impacts of Internet and Social Media on Journalism and News Reporting
Understanding the Psychology of Viral Challenges on Social Platforms
Cryptocurrency and Social Media: The Intersection
Mitigating Misinformation and ‘Fake News’ on Social Media
Augmented Reality (AR) in Social Media: A Game Changer?
Evaluating the Impact of Social Media on Political Campaigns
Social Media’s Influence on Fashion and Beauty Trends
Privacy, Safety, and Security Concerns in the Age of Social Networking
Roles of Free Access and Social Media in Promoting Sustainable Practices
Implications of Social Media Addiction on Mental Health
Examining Social Media’s Role in Crisis Communication
The Power of User-Generated Content in Branding
Influence of Social Media on Food Culture and Dining Trends

Easy Social Media Research Topics

Impacts of Online Videos and Social Media on Mental Health
Influencer Marketing: Efficacy and Ethical Concerns
Evolution of Privacy Policies Across Social Platforms
Understanding Virality: What Makes Content Shareable?
Cyberbullying: Prevalence and Prevention Strategies
Social Media and Political Polarization: An In-Depth Study
Role of Social Media in Modern Business Strategies
Effect of Social Media on Interpersonal Relationships
Social Platforms as Tools for Social Change
Navigating Online Hate Speech: A Legal Perspective
Emerging Trends in Social Media Advertising
Online Identity Construction and Self-Presentation
The Psychology of Social Media Addiction
Social Media’s Role in Crisis Management and Communication
Sentiment Analysis in Social Media and Its Implications
Social Media Algorithms: Bias and Implications
The Phenomenon of Cancel Culture on Social Platforms
Cybersecurity Threats in the Era of Social Media
Analyzing Adverse Impacts of Social Media on Consumer Behavior

Interesting Social Media Research Topics

Evaluating the Effects of Social Media on Language and Communication
Roles of Social Media in Fostering Political Engagement
Misinformation and Propaganda Spread Through Social Platforms
Analyzing the Shift From Traditional Media to Social Media
Dark Patterns in Social Media: Hidden Manipulative Tactics
Social Media and Digital Activism: Revolutionizing Advocacy
Augmented Reality (AR) and Its Impact on Social Networking
Exploring Cybersecurity Issues in Social Media Platforms
Roles and Effects of Social Media and News in Mental Health Promotion
Strategies for Effective Social Media Crisis Management
The Power of Live Streaming for Brands and Influencers
Using Social Media to Enhance Classroom Learning
Analyzing the Influence of Memes on Internet Culture
Impacts of Social Media Algorithms on User Behavior
Assessing the Correlation Between Social Media and Loneliness
Geotagging and Its Implications for Personal Privacy
Social Media and E-commerce: A Cross-Industry Study
The Ethics of Digital Advertising on Social Platforms
Understanding the Psychology of Social Media Trolls
The Cultural Shift Caused by Social Media Localization

Social Media Research Paper Topics for High School

The Phenomenon of Cyberbullying: Prevention and Strategies
How Does Social Media Influence Teen Body Image?
Evaluating the Educational Potential of Social Media Platforms
Impacts of Social Media on Adolescents’ Self-Esteem
Roles of Free Connection and Social Media in Modern Political Activism
Exploring the Concept of ‘Digital Citizenship’ Among Teenagers
The Ethics of Social Media Privacy: User Rights and Responsibilities
Social Media Addiction: Understanding Its Causes and Effects
Influence of Social Media on Modern Communication Styles
Analyzing Positive Roles of Social Media in Promoting Reading Culture
Social Media and Mental Health: Correlation or Causation?
The Role of Social Media in Global Environmental Awareness
Examining Social Media’s Impact on Real-Life Social Skills
Social Media Platforms: Tools for Personal Branding or Narcissism?
Influence of Social Media Trends on Youth Fashion Choices
Impacts of Social Media on Teenagers’ Sleep Patterns
Online Safety: The Role of Parents and Schools in Social Media Usage
How Does Social Media Influence Teenagers’ Views on Relationships?
Social Media and Empathy: Does Online Interaction Decrease Compassion?

Social Media Research Paper Topics for College Students

Evaluating the Impact of Social Media on Body Image and Self-Esteem
The Influence of Social Media on Voting Patterns Among Young Adults
Social Media as a Valid Tool for Social Change: A Case Study Approach
Unveiling the Psychology of Social Media Addiction
Social Media’s Role in Modern Journalism: Opportunities and Challenges
Privacy Implications of Data Collection on Social Media Platforms
Cyberbullying in the Age of Social Media: Scope and Solutions
The Ethical Aspects of Social Media Influencer Marketing
Roles and Effects of Social Media in Crisis Communication and Management
Social Media and Its Effects on Interpersonal Communication Skills
Analyzing Social Media Strategies of Successful Businesses
Impacts of Internet Use and Social Media on Mental Health Among College Students
The Roles That Social Media Has in Modern Political Campaigns
Understanding the Social Media Algorithm: Bias and Implications
Social Media and Consumer Behavior: The Power of Influencer Marketing
Fake News, Authors, and Disinformation Spread Through Social Media Platforms
Exploring Direct Links Between Social Media Use and Academic Performance
Social Media’s Role in Promoting Sustainable Lifestyle Choices
Regulation of Hate Speech and Offensive Content on Social Media
The Power and Peril of Virality in the Age of Social Media

Social Media Research Paper Topics for University

The Effect That Social Media Has on Global Politics
The Ethics of Data Mining in Social Media
Roles of Social Media in Business Marketing Strategies
Social Media, Internet Use, and Their Impacts on Mental Health: A Systematic Review
Algorithmic Bias in Social Media Platforms: Causes and Consequences
The Influence of Colors and Social Media on Consumer Behavior
Exploring Possible Relationships Between Social Media Use and Academic Performance
Privacy, Morality, and Security Concerns in the Age of Social Media
Social Media as a Platform for Digital Activism
Impacts of Social Media on Interpersonal Communication and Relationships
Cyberbullying on Social Media: Scope, Impact, and Preventive Measures
The Role of Social Media in Spreading Health-Related Misinformation
Analyzing the Effect of Social Media on Journalism Practices
Understanding the Influence of Social Media on Body Image Perceptions
Social Media’s Role in Crisis Management: Case Studies
The Power and Effectiveness of Influencer Marketing on Social Media
Fake News and Disinformation in the Social Media Age
Regulatory Approaches to Hate Speech on Social Media Platforms
The Economic Implications of Social Media: From Startups to Giants

Social Media Research Paper Topics for Masters

Advanced Algorithms and Their Role in Shaping Social Media Interactions
Evaluating the Impact of Social Media on Democratic Processes Globally
The Intersection of Privacy, Data Mining, and Ethics in Social Media
Quantitative Analysis of Social Media’s Impact on Consumer Buying Behavior
Cybersecurity Threats in Social Media: Mitigation and Prevention Strategies
Analyzing the Psychological Implications of Social Media Addiction
Using Social Media Data to Predict Market Trends: An Econometric Approach
Role of Social Media in Crisis Management: A Comparative Study
The Sociolinguistic Impact of Social Media on Communication
Machine Learning and AI in Social Media: An Examination of Emerging Trends
Social Media as a Valid Tool for Public Health: Opportunities and Challenges
Social Media’s Influence on Modern Journalism: A Critical Analysis
Mapping Social Networks: A Graph Theory Approach
Evaluating the Efficacy of Social Media Campaigns in Social Change Movements
Analyzing the Role of Social Media in Corporate Reputation Management
Data Privacy Laws and Social Media: A Comparative Study
The Use of Small and Big Data Analytics in Social Media Marketing
Social Media and Its Role in Strengthening Democracy: A Deep Dive
The Impact of Social Media on Cultural Assimilation and Identity
Ethics of Artificial Intelligence in Social Media Content Moderation

Social Media Research Paper Topics for Ph.D.

Analyzing the Impact of Social Media Algorithms on User Behavior and Perceptions
Deciphering the Influence of Social Media on Political Campaign Strategies
Examining the Role of Social Media in Corporate Social Responsibility Initiatives
Social Media and Mental Health: A Comprehensive Analysis of Recent Studies
Effects of Social Media and Internet Use on Consumer Buying Behavior: An Econometric Approach
Social Media and Digital Diplomacy: A Critical Analysis
Ethical Implications of Data Mining Techniques in Social Media Platforms
Unpacking the Psychological Mechanisms of Social Media Addiction
Role of Social Media in Contemporary Journalism: Opportunities and Challenges
Social Media and Privacy: A Comparative Study of Data Protection Laws
Machine Learning and AI in Social Media: Identifying Future Trends
Social Media’s Possible Influence on People, Body Image, and Self-Esteem: A Meta-Analysis
Analyzing the Role of Social Media in Crisis Management and Communication
Impacts of Social Media on Different Language and Communication Styles
Cybersecurity in Social Media: An Analysis of Current Threats and Mitigation Strategies
Social Media as a Good Tool for Health Promotion and Disease Prevention
Effects of Social Media on Children and Their Parents: Social Skills and Interpersonal Relationships
Roles of Social Media in Promoting Gender Equality and Women’s Rights
Social Media and its Influence on Cultural Assimilation and Identity Formation

Social Media Research Topics for Argumentative Papers

Impacts of Social Media on Social and Political Discourses: Enhancing or Hindering Democratic Engagement?
Social Media and Mental Health: Exploring the Association Between Excessive Usage and Psychological Well-Being
Fostering Online Activism and Social Movements: The Role of Social Media
Balancing Personal Information Sharing and Data Protection: Social Media and Privacy
Exploring the Effects of Social Media on Body Image and Self-Esteem
Social Media and Political Polarization: Reinforcing Echo Chambers or Encouraging Diverse Perspectives?
Youth Culture and Identity Formation: The Influence of Social Media
Fake News and Misinformation: Combating Inaccurate Information in the Era of Social Media
Social Media and Cyberbullying: Examining the Impact on Mental Health and Well-Being
The Ethics of Social Media Research: Privacy, Informed Consent, and Ethical Considerations
Relationships in the Digital Age: Exploring the Influence of Social Media Use
The Influence of Internet, Technology, and Social Media on Consumer Behavior and Buying Decisions
Analyzing the Role of Online Platforms in Elections: Social Media and Political Campaigns
Social Media in Education: Exploring the Benefits and Challenges of Integration in the Classroom
Impacts of Social Media and Interface on News Consumption and Journalism Practices
Body Politics in the Digital Space: Examining Representations of Gender, Race, and Body Image on Social Media
Addressing Ethical and Security Concerns in the Digital Age: Social Media and Cybersecurity
Shaping Consumer Behavior and Brand Perception: The Role of Social Media Influencers
Civic Engagement in the Digital Era: Assessing the Role of Social Media Platforms
The Influence of Social Media Algorithms on Information Consumption and Personalization

Social Media Research Topics for Persuasive Papers

The Power of Social Media in Driving Social and Political Change
Promoting Digital Literacy: Empowering Users to Navigate the Complexities of Social Media
Social Media as a Catalyst for Social Justice Movements: Amplifying Marginalized Voices
Countering Fake News and Misinformation on Social Media: Strategies for Critical Thinking
Harnessing the Influence of Social Media for Environmental Activism and Sustainability
The Dark Side of Social Media: Addressing Online Harassment and Cyberbullying
Influencer Marketing: Ethical Considerations and Consumer Protection in the Digital Age
Leveraging Social Media for Public Health Campaigns: Increasing Awareness and Behavioral Change
Social Media and Mental Health: Promoting Well-Being in a Hyperconnected World
Navigating the Privacy Paradox: Balancing Convenience and Personal Data Protection on Social Media
Roles of Social Media and Internet in Fostering Civic Engagement and Democratic Participation
Promoting Positive Body Image on Social Media: Redefining Beauty Standards and Empowering Individuals
Enhancing Online Safety: Developing Policies and Regulations for Social Media Platforms
Social Media and the Spread of Disinformation: Combating the Infodemic
Roles of Social Media and Technology in Building and Sustaining Relationships: Connecting in a Digital Era
Influencer Culture and Materialism: Examining the Impact on Consumer Behavior
Social Media and Education: Maximizing Learning Opportunities and Bridging the Digital Divide
The Power of Viral Hashtags: Exploring Social Movements and Online Activism
Social Media and Political Polarization: Bridging Divides and Encouraging Constructive Dialogue

Social Media Topics for Pros and Cons Research Papers

Examining the Social Effects of Digital Connectivity: Pros and Cons of Using Social Media
Balancing Privacy Concerns in the Digital Age: Evaluating the Cons and Risks of Social Media Use
Information Sharing in the Digital Era: Uncovering the Advantages of Social Media Platforms
Building Online Communities: Analyzing the Strengths and Weaknesses of Social Media Interaction
Navigating Political Discourse in the Digital Age: The Disadvantages of Social Media Engagement
Mental Health in the Digital Sphere: Understanding the Benefits and Drawbacks of Social Media
Combating Cyberbullying: Addressing the Negative Side of Online Social Interactions
Personal Branding in the Digital Landscape: Empowerment vs. Self-Objectification on Social Media
Establishing Meaningful Connections: Exploring the Pros and Cons of Social Media Relationships
Leveraging the Educational Potential of Digital Platforms: Examining the Benefits of Social Media in Learning
Body Image and Self-Esteem in the Age of Social Media: Weighing the Positives and Negatives
From Digital Activism to Political Change: Assessing the Opportunities and Limitations of Social Media
Unraveling the Influence: Social Media and Consumer Behavior in the Digital Marketplace
Misinformation in the Digital Landscape: The Pros and Cons of Social Media in the Spread of Disinformation
Crisis Communication in the Digital Age: Navigating the Benefits and Challenges of Social Media
Tackling Fake News: Navigating Misinformation in the Era of Social Media
Maximizing Business Opportunities: Evaluating the Advantages and Disadvantages of Social Media Marketing
The Psychology of Social Media: Analyzing the Upsides and Downsides of Digital Engagement
Exploring the Impact of Social Media on Socialization: Benefits, Drawbacks, and Implications
Online Activism: The Power and Limitations of Social Media Movements

Social Media Topics for Cause and Effect Research Papers

Enhancing Political Activism: Exploring the Relationship Between Social Media and Civic Engagement
The Psychological Effects of Digital Connectivity: Investigating the Relationship Between Mental Health of People and Social Media Use
Political Polarization in the Online Sphere: Understanding the Impact of Digital Networks
Disrupted Sleep Patterns in the Digital Era: Exploring the Role of Online Platforms
Digital Distractions and Academic Performance: Analyzing the Effects of Online Engagement
Navigating Online Relationships: Understanding the Impacts of Digital Interactions
The Digital Marketplace: Exploring Consumer Behavior in the Age of Online Platforms
The Loneliness Epidemic: Investigating the Relationship Between Social Media Use and Social Isolation
Redefining Political Participation: The Influence of Digital Networks on Democracy
Unmasking Digital Identities: The Psychological Effects of Social Media Use
News Consumption in the Digital Era: Exploring the Impacts of Online Platforms
Cyberbullying in the Virtual World: Analyzing the Effects of Online Interactions
The Digital Campaign Trail: Investigating the Influence of Online Platforms on Voter Behavior
Fear of Missing Out (FOMO) in the Digital Age: Exploring the Psychological Consequences
Body Dissatisfaction in the Digital Sphere: Understanding the Impacts of Online Presence
Information Overload: Coping With the Digital Deluge in the Information Age
Privacy Concerns in the Online Landscape: Analyzing the Implications of Digital Footprints
Unveiling the Dark Side: Exploring the Relationship Between Online Activities and Substance Abuse
Bridging the Political Divide: The Impact of Digital Networks on Sociopolitical Polarization

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The Top 10 Most Interesting Social Media Research Topics

Finding social media research topics you’re interested in is tricky. Social media is a fairly new field, and the constant arrival of new technology means that it’s always evolving. So, students have a lot to think about in their search for topics.

In this article, we’re going to walk you through social media research paper topics that are timely and relevant. We’ll also show you examples of social media research topics you can get inspiration from. Lastly, we’re going to lay out some social media research questions you can ponder while formulating your topic.

Find your bootcamp match

What makes a strong social media research topic.

A strong social media research topic requires clarity of focus. This means that your topic must be timely, relevant, and coherent. This allows your research topic to be compelling and easily understandable to others.

Tips for Choosing a Social Media Research Topic

Know the trends. Learning what social media topics are trending allows you to know the relevant issues and emergent themes in the field of social media. This also lets you know what topics are well-researched and which ones are still emerging.
Explore knowledge gaps. Knowing what previous researchers have written prevents you from repeating knowledge that has already been explored and shared. Nobody wants to reinvent the wheel when doing research. Exploring knowledge gaps lets you increase the impact of your work and identify opportunities for further research.
Choose something that you’re interested in. Diving deep into a topic that you’re interested in motivates you to learn more about it. The research process becomes more engaging when you know you care about your topic.
Be specific. Knowing what you want to research and what you don’t want to research are keys to the research process. This entails narrowing down your topic to a specific area, subject, theme, or relationship. You want to know the scope and the limitations of your study.
Check your timeframe. Limiting your topic to a specific timeframe helps in narrowing down what you need to study. For example, you can decide to study a phenomenon that has emerged in just the last three years. By doing this, you’re making sure that your research is both specific and relevant.

What’s the Difference Between a Research Topic and a Research Question?

The difference between a research topic and a research question is in the scope. Research topics tend to be broader than research questions. Research topics focus on a specific area of study within a larger field, while a research question further narrows down what you are researching. A good research question allows you to write on your topic with greater precision.

How to Create Strong Social Media Research Questions

The key to creating strong social media research questions is learning enough about your topic to know where the gaps are. This means that you have to conduct a thorough social media literature review, reading previous studies until you have a handle on what’s been said and what questions are still unanswered. Your question will emerge from this preliminary research.

2. The Influence of Social Media on Mental Health

Mental health has been an important topic in social media research these past few years. Social media use and its connection to mental health has even been the subject of systematic reviews. This means that there’s a huge body of previous studies that you can look to when developing your research question.

Exploring both the positive effects and negative impacts of social media sites on mental health helps people and firms establish guidelines that help user communities. This research topic might also cover strategies for helping social media users improve their mental health.

3. The Role of Social Media in Political Campaigning

Social media is a new tool for political campaigning. Exploring what social media strategies have been conducted by politicians running for office helps in determining how social media aids in political campaigning. Studying new strategies like user-generated content for political campaigning allows you to know how voters interact with political candidates.

4. The Role of Social Media in Disinformation

The rise of fake news has coincided with the rise of social networking websites. This topic involves dissecting how social media technologies allow certain types of online content to thrive and make it easier for bad actors to spread disinformation.

5. How Social Media Can Benefit Communities

More and more social issues have been popularized through online content. Diving deep into how social media can facilitate organizational networking lets you compare the traditional and new organizing strategies being created in digital spaces. It also lets you understand how social media activity influences trends in virtual communities.

6. The Effects of Social Media Exposure on Child Development

Children also use social media sites. Some children use social networking sites under the supervision of their parents, and some do not. Social interaction, online or not, affects how children develop. Studying the psychological effects of social media exposure lets you know how social media may improve or derail the growth of children.

7. How Communication Has Evolved Through Social Media

Body language, tone of voice, and other non-verbal cues are absent in online forms of communication. In their place, emojis and other new ways to express thoughts and emotions have appeared. Learning how social media changes the way we talk to one another allows you to develop a theory of communication that takes into account the role of digital communities.

8. Social Media Platforms as Primary News Sources

A lot of people now are getting their daily dose of news and current events through social media. News networks have also established their social media presence on platforms that they can use to deliver news and current events to their audiences. Researching this topic lets you investigate the changes and innovations in information dissemination.

9. How Social Media Paves Way for Non-Traditional Advertising

Regular social media posts, advertisements, and other forms of online content aren’t the only ways businesses market to their audiences. Social media has paved the way for user-generated content and other non-traditional types of online marketing. With this topic, you can learn social media marketing strategies that have been capitalized on the social connection fostered by social networking websites.

10. Impacts of Social Media Presence on Corporate Image

More businesses increasingly build and curate their digital presence through various social networks. Knowing how a business can improve its corporate image through social media influence clarifies the role of technology in modern economics and online marketing.

Social Media Research Questions

How was Facebook used as a political campaigning tool in the 2020 United States presidential election?
What social platforms are the most effective in influencing consumer behavior?
How does user-generated content boost the credibility of a business?
How do different types of online content disseminated through popular networks affect the attention span of people?
What are the most effective forms of online content and social media strategies for increasing sales conversions for small businesses?

Choosing the Right Social Media Research Topic

Choosing the right social media research topic helps you create meaningful contributions to the discipline of social media studies. Knowing the most popular topics in the field can make you an expert on social media. By reading up on previous studies, you will not only be more informed but you will also be in a position to make a positive impact on future studies.

Studying the relationship between social media and different fields produces valuable knowledge. Even if you’re only interested in exploring one social platform or a single social media event or phenomenon, your research can help people better understand how social media engagement changes the face of social relationships in the world at large.

Social Media Research Topics FAQ

Social media is a computer-based technology that allows digital communities to exchange information through user networks. Various social media networks specialize in text, photo, or video transfer. All of these are ways for people on the Internet to share information and ideas with each other.

Social media research is important because it helps you contribute to the growing body of knowledge about digital social settings. In 2021, according to DataReportal, at least 4.88 billion people around the world use the Internet . The more that people connect with each other through the social media domain, the more their quality of life changes, for better or worse.

According to Statista, the most popular social media platforms right now are Facebook, YouTube, and WhatsApp , each of which has at least two billion users. These social networks allow users to share text, picture, and video content with one another.

People use social media to connect with each other, share information, and entertain themselves. Social media sites can broadly serve all of these purposes or be focused on just one of these functions.

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MRA Guide to the Top 16 Social Media Research Questions

MRA and IMRO published this simple guide to Social Media Research (SMR) in 2010 in order to help researchers identify and find answers to the most important questions to SMR techniques.

Introduction Social networks engulf everyday life. They represent a place to share news, ideas, and information of all kinds. The connections made among people in these networks, and the resulting information shared, can have a profound effect on the thoughts, attitudes, and beliefs of individuals. Moreover, even the flow of information itself can be a powerful predictor of key business and program outcomes.

Recognizing the power of social networks, opinion researchers have increasingly begun to take advantage of social media to answer critical business questions. In doing so, the research profession has invented new tools and methods to supplement an already impressive array of techniques. The Marketing Research Association (MRA) has developed this guide in order to describe the current landscape of social media research as well as to facilitate and advance further development of the technique. Ultimately, it is the goal of the Association and its members to foster universally accepted and practiced standards and best practices for these and other research methods.

What is Social Media?

There are many definitions of social media but, at its core, social media uses Internet-based technologies that facilitate the creation and exchange of user-generated content. Social media refers to Web sites that permit people to interact with the site and with each other using simple interfaces. At the time of publication, Facebook, qq.com, Twitter and YouTube are among the most popular social media sites.

Social media refers to the information that people share on those sites, including status updates, image and video comments, responses to blogs and forums, and any other individual contributions to the online space. This information reflects naturally occurring conversations among people who may or may not personally know each other.

What is Social Media Research?

Though evolving rapidly, social media research (SMR) is the application of marketing and opinion research methods to social media data for the purposes of conducting research (e.g., usage and attitude studies, social media research tracking studies, custom research, etc.). Similar to other types of marketing research usage and attitude studies, tracking studies, research goals and objectives are developed, methodologies are prepared, and social media data are analyzed quantitatively and/or qualitatively depending on the goals of the project.

SMR is distinct from other forms of marketing research in that it uses social media as its data source as opposed to surveys, focus groups and other data collection modes and techniques. SMR can be a complementary or stand-alone analytical tool for researchers, providing them with a unique opportunity to listen and measure the opinions of potentionally vast numbers of people who communicate online, some of whom may not normally or easily be accessible through non-observational forms of research.

About the Authors MRA is grateful to the following for their contributions to this Guide to the Top 16 Social Media Research Questions: Jim Longo, PRC, Itracks, Committee Chair; Janet Savoie, PRC, Online Survey Solution; Annie Pettit, Conversition Strategies; Ray Poynter, The Future Place; Ellie Schwartz; Ed Sugar, PRC, OLC Global; Tamara Barber, Forrester Research; Tamara Kenworthy, PRC, On Point Strategies; Steven Runfeldt, Schwartz Consulting; Benjamin Smithee, Spych Market Analytics; Aaron Hill, PRC, Sawtooth Software; Susan Saurage-Altenloh, PRC; Steffen Hück, HVYE; and Patrick Glaser, MRA.

THE ROLE OF SOCIAL MEDIA RESEARCH

#1. what are the advantages and disadvantages of smr.

From a capacity standpoint, SMR provides the ability to collect and analyze information from the past as well as in real-time, as it is generated. Moreover, the richness of data available on social media networks is conducive to both qualitative designs (e.g., digital ethnographies) as well as quantitative designs, including numerical aggregation of large quantities of data.

In terms of methodological considerations, SMR utilizes an observational form of data collection. Information is collected from Web sites as posted by individuals who may not be specifically aware of the research role. As such, social media communications are thought to be free of, or less subject to, response biases that occurs in interviewer-administered, and even self-administered, forms of opinion surveys and focus groups. However, social media is inherently a public form of communication, with varying degrees of privacy which may affect some social media users’ willingness to reveal information, particularly sensitive or potentially embarrassing personal details.

From an ethical standpoint, SMR has the additional advantage of eliminating the burden that would otherwise be placed on a research participant. Social media users do not participate in “active” data collection (e.g., survey, focus group). They generate data simply by engaging in their natural online communications. However, SMR presents unique ethical considerations of which researchers must be aware (see “Ethical and Legal Issues”).

SMR offers researchers a host of benefits, a few of which include:

Ease of adjusting research criteria throughout the study
Potential cost savings and reduced logistical burden
Ease of application across locations
Access to hard-to-reach research participants
Benchmarking (e.g., reported vs. observed opinions)

Likewise, researchers should be aware of various challenges associated with SMR. For example, researchers who are new to SMR methods will need to familiarize themselves with both the characteristics of social media users as well as specific SM sites in order to properly draw conclusions about research findings. Additional considerations include the need to learn and become proficient with:

SM tools and techniques including sentiment and content analysis
Indicators of SMR validity and reliability at each stage of the process
Relevant types of biases, particularly those arising from unique SMR tools
The types of brands and categories that are more likely to be successful carrying out SMR, e.g., due to volume of data or consumer importance

#2. What data sources are typically used in SMR?

Millions of Web sites (small and large) currently facilitate the practice of social media research. However, online sites, which currently facilitate social media communications come and go, and change very rapidly. Researchers involved in SMR need to stay abreast of changes in social media communication patterns and trends, including the rise of mobile access, and popular SM vehicles. Current examples of SM Web sites that generate data suitable for SMR include:

Social Networking Sites:Social News: e.g., Digg, Reddit, Mashable, Technorati Facebook: Search, Community Pages, Fan Pages, Groups, Chat, Facebook-based Apps

Twitter: Location-based Application, Real-time Search, Advanced Search (search.twitter.com)

LinkedIn: Search, Groups, Q&A

Photo/Video Sharing: e.g., YouTube, Flickr
Online Communities: Industry, Topic-related, Branded or Unbranded
Blogs: e.g., Blogger, Posterous, Wordpress
Forums: Industry or Topic-related
Questions and Answers: e.g., Yahoo Answers, Linkedin Answers, Yedda
Commenting: e.g., Disqus, Backtype
Traditional News: e.g., CNN, BusinessWeek

#3. How does SMR interact with other forms of traditional and non-traditional research, including online, offline, in-person, and qualitative and quantitative?

SMR can effectively stand on its own, but may also be integrated with traditional research methods to create a holistic research solution. In fact, SMR may sometimes springboard or support other forms of traditional research. Examples of SMR integration with other research methods include:

Observing the flow of conversation in real time, thus prompting the most effective methodology for further research
Accessing user supplied media such as photos and video
Measuring trending topics for further “traditional” research
Assisting in the preparation of discussion guides or surveys
Identifying key influencers in an industry or on a topic
Reaching a segment of the population that may not otherwise be reachable
Comparing community-based insights to natural observational social media insights
Establishing trust between researcher and participant, potentially for further recruitment into another form of research
Exploring, and discovering “unknowns” via observations

#4. How reliable are SMR results?

Validity refers to the degree to which results reflect truth or reality while reliability reflects the degree to which results can be replicated if someone else were to conduct a similar study. Because research suppliers have different methods, standards of quality, and processing rules, research consumers must conduct their own validity and reliability analysis of any potential supplier to ensure the quality of work is sufficient. As with all types of marketing research, the validity and reliability of social media research varies greatly:

What is the validity and reliability of the sentiment and/or content analysis processes? If manual coders are used, reliability might be lower. If automated coders are used, validity might be lower.

Given that sentiment differs by Web site (e.g., Twitter is more negative while blogs are more positive), what is the range of social media venues that are measured and what percentage of the Internet population do they represent? Do any of the sites overwhelm the data collection strategy in a proportion that does not reflect the Internet space? Does the vendor know how and why to sample and weight data?
To what extent is the intended target group reflected by the social media venues being used?
Is the intention to measure and generalize to the general Internet population or to a particular segment of the Internet?
How is geographic and demographic information being measured in order to assess the validity of generalizing outside of the sample?
What timeframe is appropriate for the research objectives? Though small samples may be acceptable for long-term research, shorter time frames must use larger sample sizes.

#5. Within businesses and organizations, how will SMR activities be tracked and aggregated, and whose responsibility is it to handle each of those functions?

Social media research may be executed in multiple ways. For example, numerous departments within a single company may be involved in SMR, including internal research departments, and cross-functional teams from marketing, customer relationship management, public relations, public affairs, and other departments. SMR may also be outsourced to vendors who may or may not specialize in research. Regardless, the skill set of the user must be appropriate for the function.

#6. What additional knowledge, skills, and abilities will a corporate researcher need to learn in order to improve their level of competency with SMR?

SMR may involve several different methods and analytical approaches. As such, corporate researchers may find it most advantageous to learn a wide breadth of relevant techniques while continually honing their skills and knowledge in the areas that are most relevant to their organization. Commonly used techniques include both sentiment analysis and content analysis. Additionally, researchers will need to learn about, and become comfortable with, important explanatory variables beyond traditional “respondent” demographics, such as how different types of Web sites (e.g., blogs, forums, media, etc.) generate and facilitate different types of data (e.g., whether data is more positive versus negative, descriptive versus condensed, etc.).

#7. Are the participants aware that their usergenerated content is under observation?

Research contributors have demonstrated the occasional tendency to provide sub-optimal information when they are aware that others are studying or observing them. Oftentimes, this is attributable to concerns over the privacy of sensitive information or feelings of being compelled to give a socially-desirable response to a question. In SMR, though it commonly is understood that conversations are generally public and open to viewing by almost anyone, the individual under observation may or may not be aware of the presence of a researcher.

At the same time, participation in the social media space offers varying degrees of privacy. Users may participate for personal and/or professional reasons and they may or not seek relationships with other users. Researchers should be aware of the potential and likelihood for “social observational bias” and the effect it will have on the type, candor and direction of the user’s comments.

Ethical and Legal Issues

#8. how are sources cited in research reports and on research web portals are the citations different based on the source, e.g., twitter, blogger, forums.

As in traditional forms of research, it is important to protect the privacy of contributors. As such, without prior express consent, data transmitted from vendor to client should not include direct references or citations to individuals that would reveal their identity.

However, sources may be recorded for validation purposes as well as for potential data quality checks. Any data or reporting intended for transfer to an outside entity should be purged of personally identifiable information (PII) prior to changing-hands. This includes IP addresses, usernames, user id numbers, user photos, e-mail addresses, and other types of commonly available online data.

Where detailed information must be shared for the purposes of data quality or validation, the data should include source citations using the current link of the information (e.g., http:// twitter.com/xxxx/xxxx/). Notably, links should be expected to expire or become “broken” overtime. Researchers should plan to record any pertinent administrative or relevant source data (e.g., date/time, source identifier, query details, etc.) to be used in validation at the time of data collection.

#9. What are the controversies and legal issues regarding the rights of the people whose data is being used?

Social media is a relatively new form of communication and individuals from every stakeholder group, including the public, researchers and governments, are participating in an on-going conversation about the nature of its privacy and ethics. For this reason, it’s critical for researchers to understand that they have a responsibility to respect social media user’s privacy and that the definition and expectations for social media user’s privacy can and will change over time. Some brief areas of consideration are described below.

Privacy: Individuals and their social media privacy expectations should be respected. If an individual has posted information on a public Web site under a public “privacy” setting, they may be considered to have a very low or no expectation of privacy for the information they reveal. Even so, researchers who collect and analyze this information should take care to protect it from becoming identifiable to an individual.

Conversations should not be copied verbatim into reports as those direct quotes can be searched and identities discovered. A small number of relevant conversations can be summarized, without losing their flavor, in reports. Moreover, full quotations can be used with permission.

Interacting with individuals: Clients must never use information collected during or for social media research for the purpose of direct marketing or otherwise influencing the opinions and behaviors of the data subject. Marketing may only occur in places like branded and client communities where contributors would naturally expect those types of conversations to take place.

Combining data from multiple sources where privacy policies differ: In general, the policy provisions that tend to favor the rights and needs of the contributors should be given weight. Best practices call for researchers to respect the coded crawling terms of every Web site they visit. Where Web sites are coded to indicate that crawling is not permitted, those Web sites should not be crawled even if it is technically possible. Researchers must not join Web sites under the pretense of being a member so that they then have access to crawl a Web site that prohibits such crawling otherwise – this condition holds for both automated and manual crawling. Where researchers do join groups, they must immediately make it explicit that they are there for the purposes of marketing research. Notably, issues concerning access to data sources are paramount to the conduct of social media research and can be expected to be a major focus of the opinion research industry moving forward, both in terms of how to ethically gain access to the widest net of sources as well as appropriate ways to handle and adjust for cases where this is not possible.

SM Research Processes & Providers

#10. what is the level of expertise and industry qualifications of social media researchers and/or smr companies.

Anyone selecting a social media research vendor must be aware that the technique is relatively new. They must be careful to select a research partner with the appropriate level of expertise and skill in the practice of SMR. Some relevant questions to ask include:

Is the company primarily an IT or social media company that expanded into research, or a research company that expanded into social media? While IT and social media companies may have expertise in social media, crawling and data collection techniques, research companies have expertise in data analysis techniques.
Does the company focus on research exclusively or do they maintain other functions as well? For example, companies that conduct SMR may specialize in buzz monitoring, customer relationship management, public relations, research, or some other social media function.
Does the company specialize in qualitative methods, quantitative methods, or a combination of both?
Is the provider aware of traditional research practices such as sampling and weighting and, if so, how and when do they apply those practices?
For the practice of ethics and standards of quality, does the provider classify themselves as a researcher or as some other profession?

#11. What are the standard data and/or research outputs?

Since SMR is relatively new, industry standards for outputs have not yet been developed. It is important to understand the vendor’s policies and capacities for standard and custom reporting. Relevant questions include:

Does the company offer a full-service model of data collection, analysis and presentation or do they offer a self-service tool such as a portal?
In cases where the vendor offers full-service reporting and presentation, what substantive outputs may be expected? What technical explanation and reporting may be expected (e.g., a technical appendix)?
Are the SMR analyses incorporated with traditional types of marketing research and does the company have expertise doing so?
Does the provider offer standardized or customized tools?
How often are outputs updated and/or delivered?

#12. What is the process for gathering data?

Like other forms of opinion research, a wide variety of approaches exist for the implementation of SMR. It is important to understand the company policies undertaken. Relevant questions include:

Does the company gather its own data or is a data collection vendor used?
How many Web sites are crawled and how are those Web sites selected?
Does the company seek out permission-based relationships with the sites they crawl?
Does the company honor the electronic privacy notifications of individual Web sites?

#13. What data quality processes are implemented in each stage of the SMR?

What quality and validation protocols have been adopted and implemented to safeguard the quality of the research at each stage of the process? Are there validation processes in place for initial data collection, scoring and coding, etc.? Does the organization collect and retain information at the initial stages for validation purposes while removing/anonymizing data for reporting purposes?

#14. Does the company provide sentiment scoring?

Sentiment scoring is a process of assigning a positive or negative emotion to a conversation. Some vendors may provide strictly positive or negative emotions, while others may assign a continuum ranging from positive to neutral, to negative. If the vendor provides sentiment scoring, is the process an internal proprietary method, a third party purchased product, or some combination of the two? How is the sentiment scored (e.g., dictionary, bayesian, manually)?

#15. If sentiment scoring is provided, what is the process for validating results?

Simple and commonly-used systems of sentiment validation may prove to be inadequate. More rigorous approaches should be used, specifically blinded methods. For example:

For automated systems, researchers should receive a list of uncoded conversations and then code them manually. The manual codes should then be matched back and compared to the automated codes to derive a percentage match (i.e., validation coefficient).

For manual systems, two unique raters should independently code conversations. A validation coefficient may be derived from a comparison of the two outputs.

The above processes are two relatively simple examples of validation systems. More complicated calculations are available, but their use should be weighed according to the capacity of stakeholders to understand the meaning and method of the technique.

Language constantly changes and evolves due to new and lapsed slang, terminology, and speech patterns. As such, simple systems of sentiment validation may prove to be inadequate. When conducting SMR, rigorous and constantly monitored approaches to sentiment analysis are most appropriate.

#16. What, if any, methods are used for determining the geography associated with the data?

Demographic and geographic information can often be an important and meaningful element for research and validation purposes. When considering SMR, what geographic information is available and how precise is the information (e.g., city or town, region, country, unknown)? What types of demographic data are available (e.g., age, gender, income, education)?

Researchers must take care to specify the methodology and sample size associated with the information. Inferred methods (based on Web site sources or language) may be associated with large sample sizes but have low validity. On the other hand, precise information is currently only available for an extremely tiny percentage of conversations and therefore often has insufficient generalizability.

The “Top 16 Questions” presented in this guide represent the core matters of importance to the research field with respect to social media research. They include issues of reliability, execution, interaction with other kinds of research, ethics and legal compliance, data quality, process, and outputs.

Importantly, the 16 questions in this document do not stand as the only ones the opinion research profession needs to address, nor do they take the place of standards of practice. Instead, they provide a starting point for experts and professionals to debate and discuss development toward this goal. As in any profession, a reasonable consensus should be reached in order to validly define and represent an industry standard of best practice. It is the goal of the Marketing Research Association that this document be widely distributed and contribute as such.

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13 social media research topics to explore in 2024

Last updated

15 January 2024

Reviewed by

Miroslav Damyanov

To help you choose a specific area to examine, here are some of the top social media research topics that are relevant in 2024.

What makes a strong social media research topic?

Consider the factors below to ensure your topic is strong and compelling:

Clarity: regardless of the topic you investigate, clarity is essential. It ensures readers will be able to understand your work and any wider learnings. Your argument should be clear and your language unambiguous.

Trend relevancy: you need to know what’s currently happening in social media to draw relevant conclusions. Before choosing a topic, consider current popular platforms, trending content, and current use cases to ensure you understand social media as it is today.

New insights: if your research is to be new, innovative, and helpful for the wider population, it should cover areas that haven’t been studied before. Look into what’s already been thoroughly researched to help you uncover knowledge gaps that could be good focus areas.

Tips for choosing social media research topics

When considering social media research questions, it’s also important to consider whether you’re the right person to conduct that area of study. Your skills, interests, and time allocated will all impact your suitability.

Consider your skillset: your specific expertise is highly valuable when conducting research. Choosing a topic that aligns with your skills will help ensure you can add a thorough analysis and your own learnings.

Align with your interests: if you’re deeply interested in a topic, you’re much more likely to enjoy the process and dedicate the time it needs for a thorough analysis.

Consider your resources: the time you have available to complete the research, your allocated funds, and access to resources should all impact the research topic you choose.

13 social media research paper topics

To help you choose the right area of research, we’ve rounded up some of the most compelling topics within the sector. These ideas may also help you come up with your own.

1. The influence of social media on mental health

It’s well-documented that social media can impact mental health. For example, a significant amount of research has highlighted the link between social media and conditions like anxiety, depression, and stress—but there’s still more to uncover in this area.

There are high rates of mental illness worldwide, so there’s continual interest in ways to understand and mitigate it. Studies could focus on the following areas:

The reasons why social media can impact mental health

How social media can impact specific mental health conditions (you might also look at different age groups here)

How to reduce social media’s impact on mental health

2. The effects of social media exposure on child development

There are many unknowns with social media. More research is needed to understand how it impacts children. As such, this is a very valuable research area.

You might explore the following topics:

How social media impacts children at different ages

The long-term effects of childhood social media use

The benefits of social media use in children

How social media use impacts childhood socialization, communication, and learning

3. The role of social media in political campaigning

Social media’s role in political campaigning is nothing new. The Cambridge Analytica Scandal, for example, involved data from millions of Facebook profiles being sold to a third party for political advertising. Many believe this could have impacted the 2016 US election results. Ultimately, Facebook had to pay a private class-action lawsuit of $725 million.

The role of social media in political campaigns is of global significance. Concerns are still high that social media can play a negative role in elections due to the spread of misinformation, disinformation, and the bandwagon effect.

Research in this area could look into the following topics:

How people are influenced by social media when it comes to voting

Ways to mitigate misinformation

Election interference and how this can be prevented

4. The role of social media in misinformation and disinformation

Misinformation and disinformation mean slightly different things. Misinformation is unintentionally sharing false or inaccurate information, while disinformation is sharing false information with the deliberate intent to mislead people.

Both can play a role not just in elections but throughout social media. This became particularly problematic during the COVID-19 pandemic.

Research into this area is important given the widespread risk that comes with spreading false information about health and safety-related topics.

Here are some potential research areas:

How misinformation and disinformation are spread via social media

The impact of false information (you could focus on how it impacts health, for example)

Strategies for mitigating the impact of false information and encouraging critical thinking

The avenues through which to hold technology companies accountable for spreading misinformation

5. The impact of AI and deepfakes on social media

AI technology is expected to continue expanding in 2024. Some are concerned that this could impact social media. One concern is the potential for the widespread use of deepfake technology—a form of AI that uses deep learning to create fake images.

Fake images can be used to discredit, shame, and control others, so researchers need to deeply understand this area of technology. You might look into the following areas:

The potential impacts of deepfakes on businesses and their reputations

Deepfake identities on social media: privacy concerns and other risks

How deepfake images can be identified, controlled, and prevented

6. How social media can benefit communities

While there’s much research into the potential negative impacts of social media, it can also provide many benefits.

Social media can establish connections for those who might otherwise be isolated in the community. It can facilitate in-person gatherings and connect people who are physically separated, such as relatives who live in different countries. Social media can also provide critical information to communities quickly in the case of emergencies.

Research into the ways social media can provide these key benefits can make interesting topics. You could consider the following:

Which social media platforms offer the most benefits

How to better use social media to lean into these benefits

How new social platforms could connect us in more helpful ways

7. The psychology of social media

Social media psychology explores human behavior in relation to social media. There are a range of topics within social media psychology, including the following:

The influence of social media on social comparison

Addiction and psychological dependence on social media

How social media increases the risk of cyberbullying

How social media use impacts people’s attention spans

Social interactions and the impact on socialization

Persuasion and influence on social media

8. How communication has evolved through social media

Social media has provided endless ways for humans to connect and interact, so the ways we do this have evolved.

Most obviously, social media has provided ways to connect instantaneously via real-time messaging and communicate using multimedia formats, including text, images, emojis, video content, and audio.

This has made communication more accessible and seamless, especially given many people now own smartphones that can connect to social media apps from anywhere.

You might consider researching the following topics:

How social media has changed the way people communicate

The impacts of being continuously connected, both positive and negative

How communication may evolve in the future due to social media

9. Social media platforms as primary news sources

As social media use has become more widespread, many are accessing news information primarily from their newsfeeds. This can be particularly problematic, given that newsfeeds are personalized providing content to people based on their data.

This can cause people to live in echo chambers, where they are constantly targeted with content that aligns with their beliefs. This can cause people to become more entrenched in their way of thinking and more unable or unwilling to see other people’s opinions and points of view.

Research in this area could consider the following:

The challenges that arise from using social media platforms as a primary news source

The pros and cons of social media: does it encourage “soloization” or diverse perspectives?

How to prevent social media echo chambers from occurring

The impact of social media echo chambers on journalistic integrity

10. How social media is impacting modern journalism

News platforms typically rely on an advertising model where more clicks and views increase revenue. Since sensationalist stories can attract more clicks and shares on social media, modern journalism is evolving.

Journalists are often rewarded for writing clickbait headlines and content that’s more emotionally triggering (and therefore shareable).

Your research could cover the following areas:

How journalism is evolving due to social media

How to mitigate social media’s impact on neutral reporting

The importance of journalistic standards in the age of social media

11. The impact of social media on traditional advertising

Digital advertising is growing in popularity. Worldwide, ad spending on social media was expected to reach $207.1 billion in 2023 . Experts estimate that ad spending on mobile alone will reach $255.8 billion by 2028 . This move continues to impact traditional advertising, which takes place via channels like print, TV, and radio.

Most organizations consider their social strategy a critical aspect of their advertising program. Many exclusively advertise on social media—especially those with limited budgets.

Here are some interesting research topics in this areaThe impact of different advertising methods

Which social media advertising channels provide the highest return on investment (ROI)

The societal impacts of social media advertising

12. Impacts of social media presence on corporate image

Social media presence can provide companies with an opportunity to be visible and increase brand awareness. Social media also provides a key way to interact with customers.

More and more customers now expect businesses to be online. Research shows that 63% of customers expect companies to offer customer service via their social media channels, while a whopping 90% have connected with a brand or business through social media.

Research in this area could focus on the following topics:

The advantages and disadvantages of social media marketing for businesses

How social media can impact a business’s corporate image

How social media can boost customer experience and loyalty

13. How social media impacts data privacy

Using social media platforms is free for the most part, but users have to provide their personal data for the privilege. This means data collection, tracking, the potential for third parties to access that data, psychological profiling, geolocation, and tracking are all potential risks for users.

Data security and privacy are of increasing interest globally. Research within this area will likely be in high demand in 2024.

Here are some of the research topics you might want to consider in this area:

Common privacy concerns with social media use

Why is social media privacy important?

What can individuals do to protect their data when using social media?

The importance of social media research

As social media use continues to expand in the US and around the world, there’s continual interest in research on the topic. The research you conduct could positively impact many groups of people.

Topics can cover a broad range of areas. You might look at how social media can harm or benefit people, how social media can impact journalism, how platforms can impact young people, or the data privacy risks involved with social media use. The options are endless, and new research topics will present themselves as technology evolves.

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Latest articles

The effect of social media on well-being differs from adolescent to adolescent

Ine Beyens ORCID: orcid.org/0000-0001-7023-867X 1 ,
J. Loes Pouwels ORCID: orcid.org/0000-0002-9586-392X 1 ,
Irene I. van Driel ORCID: orcid.org/0000-0002-7810-9677 1 ,
Loes Keijsers ORCID: orcid.org/0000-0001-8580-6000 2 &
Patti M. Valkenburg ORCID: orcid.org/0000-0003-0477-8429 1

Scientific Reports volume 10 , Article number: 10763 ( 2020 ) Cite this article

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Human behaviour

The question whether social media use benefits or undermines adolescents’ well-being is an important societal concern. Previous empirical studies have mostly established across-the-board effects among (sub)populations of adolescents. As a result, it is still an open question whether the effects are unique for each individual adolescent. We sampled adolescents’ experiences six times per day for one week to quantify differences in their susceptibility to the effects of social media on their momentary affective well-being. Rigorous analyses of 2,155 real-time assessments showed that the association between social media use and affective well-being differs strongly across adolescents: While 44% did not feel better or worse after passive social media use, 46% felt better, and 10% felt worse. Our results imply that person-specific effects can no longer be ignored in research, as well as in prevention and intervention programs.

Some socially poor but also some socially rich adolescents feel closer to their friends after using social media

J. Loes Pouwels, Patti M. Valkenburg, … Loes Keijsers

what are some research questions about social media

Associations between youth’s daily social media use and well-being are mediated by upward comparisons

Andrea Irmer & Florian Schmiedek

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Sumer S. Vaid, Lara Kroencke, … Gabriella M. Harari

Introduction

Ever since the introduction of social media, such as Facebook and Instagram, researchers have been studying whether the use of such media may affect adolescents’ well-being. These studies have typically reported mixed findings, yielding either small negative, small positive, or no effects of the time spent using social media on different indicators of well-being, such as life satisfaction and depressive symptoms (for recent reviews, see for example 1 , 2 , 3 , 4 , 5 ). Most of these studies have focused on between-person associations, examining whether adolescents who use social media more (or less) often than their peers experience lower (or higher) levels of well-being than these peers. While such between-person studies are valuable in their own right, several scholars 6 , 7 have recently called for studies that investigate within-person associations to understand whether an increase in an adolescent’s social media use is associated with an increase or decrease in that adolescent’s well-being. The current study aims to respond to this call by investigating associations between social media use and well-being within single adolescents across multiple points in time 8 , 9 , 10 .

Person-specific effects

To our knowledge, four recent studies have investigated within-person associations of social media use with different indicators of adolescent well-being (i.e., life satisfaction, depression), again with mixed results 6 , 11 , 12 , 13 . Orben and colleagues 6 found a small negative reciprocal within-person association between the time spent using social media and life satisfaction. Likewise, Boers and colleagues 12 found a small within-person association between social media use and increased depressive symptoms. Finally, Coyne and colleagues 11 and Jensen and colleagues 13 did not find any evidence for within-person associations between social media use and depression.

Earlier studies that investigated within-person associations of social media use with indicators of well-being have all only reported average effect sizes. However, it is possible, or even plausible, that these average within-person effects may have been small and nonsignificant because they result from sizeable heterogeneity in adolescents’ susceptibility to the effects of social media use on well-being (see 14 , 15 ). After all, an average within-person effect size can be considered an aggregate of numerous individual within-person effect sizes that range from highly positive to highly negative.

Some within-person studies have sought to understand adolescents’ differential susceptibility to the effects of social media by investigating differences between subgroups. For instance, they have investigated the moderating role of sex to compare the effects of social media on boys versus girls 6 , 11 . However, such a group-differential approach, in which potential differences in susceptibility are conceptualized by group-level moderators (e.g., gender, age) does not provide insights into more fine-grained differences at the level of the single individual 16 . After all, while girls and boys each represent a homogenous group in terms of sex, they may each differ on a wide array of other factors.

As such, although worthwhile, the average within-person effects of social media on well-being obtained in previous studies may have been small or non-significant because they are diluted across a highly heterogeneous population (or sub-population) of adolescents 14 , 15 . In line with the proposition of media effects theories that each adolescent may have a unique susceptibility to the effects of social media 17 , a viable explanation for the small and inconsistent findings in earlier studies may be that the effect of social media differs from adolescent to adolescent. The aim of the current study is to investigate this hypothesis and to obtain a better understanding of adolescents’ unique susceptibility to the effects of social media on their affective well-being.

Social media and affective well-being

Within-person studies have provided important insights into the associations of social media use with cognitive well-being (e.g., life satisfaction 6 ), which refers to adolescents’ cognitive judgment of how satisfied they are with their life 18 . However, the associations of social media use with adolescents’ affective well-being (i.e., adolescents’ affective evaluations of their moods and emotions 18 ) are still unknown. In addition, while earlier within-person studies have focused on associations with trait-like conceptualizations of well-being 11 , 12 , 13 , that is, adolescents’ average well-being across specific time periods 18 , there is a lack of studies that focus on well-being as a momentary affective state. Therefore, we extend previous research by examining the association between adolescents’ social media use and their momentary affective well-being. Like earlier experience sampling (ESM) studies among adults 19 , 20 , we measured adolescents’ momentary affective well-being with a single item. Adolescents’ momentary affective well-being was defined as their current feelings of happiness, a commonly used question to measure well-being 21 , 22 , which has high convergent validity, as evidenced by the strong correlations with the presence of positive affect and absence of negative affect.

To assess adolescents’ momentary affective well-being (henceforth referred to as well-being), we conducted a week-long ESM study among 63 middle adolescents ages 14 and 15. Six times a day, adolescents were asked to complete a survey using their own mobile phone, covering 42 assessments per adolescent, assessing their affective well-being and social media use. In total, adolescents completed 2,155 assessments (83.2% average compliance).

We focused on middle adolescence, since this is the period in life characterized by most significant fluctuations in well-being 23 , 24 . Also, in comparison to early and late adolescents, middle adolescents are more sensitive to reactions from peers and have a strong tendency to compare themselves with others on social media and beyond. Because middle adolescents typically use different social media platforms, in a complementary way 25 , 26 , 27 , each adolescent reported on his/her use of the three social media platforms that s/he used most frequently out of the five most popular social media platforms among adolescents: WhatsApp, followed by Instagram, Snapchat, YouTube, and, finally, the chat function of games 28 . In addition to investigating the association between overall social media use and well-being (i.e., the summed use of adolescents’ three most frequently used platforms), we examined the unique associations of the two most popular platforms, WhatsApp and Instagram 28 .

Like previous studies on social media use and well-being, we distinguished between active social media use (i.e., “activities that facilitate direct exchanges with others” 29 ) and passive social media use (i.e., “consuming information without direct exchanges” 29 ). Within-person studies among young adults have shown that passive but not active social media use predicts decreases in well-being 29 . Therefore, we examined the unique associations of adolescents’ overall active and passive social media use with their well-being, as well as active and passive use of Instagram and WhatsApp, specifically. We investigated categorical associations, that is, whether adolescents would feel better or worse if they had actively or passively used social media. And we investigated dose–response associations to understand whether adolescents’ well-being would change as a function of the time they had spent actively or passively using social media.

The hypotheses and the design, sampling and analysis plan were preregistered prior to data collection and are available on the Open Science Framework, along with the code used in the analyses ( https://osf.io/nhks2 ). For details about the design of the study and analysis approach, see Methods.

In more than half of all assessments (68.17%), adolescents had used social media (i.e., one or more of their three favorite social media platforms), either in an active or passive way. Instagram (50.90%) and WhatsApp (53.52%) were used in half of all assessments. Passive use of social media (66.21% of all assessments) was more common than active use (50.86%), both on Instagram (48.48% vs. 20.79%) and WhatsApp (51.25% vs. 40.07%).

Strong positive between-person correlations were found between the duration of active and passive social media use (overall: r = 0.69, p < 0.001; Instagram: r = 0.38, p < 0.01; WhatsApp: r = 0.85, p < 0.001): Adolescents who had spent more time actively using social media than their peers, had also spent more time passively using social media than their peers. Likewise, strong positive within-person correlations were found between the duration of active and passive social media use (overall: r = 0.63, p < 0.001; Instagram: r = 0.37, p < 0.001; WhatsApp: r = 0.57, p < 0.001): The more time an adolescent had spent actively using social media at a certain moment, the more time s/he had also spent passively using social media at that moment.

Table 1 displays the average number of minutes that adolescents had spent using social media in the past hour at each assessment, and the zero-order between- and within-person correlations between the duration of social media use and well-being. At the between-person level, the duration of active and passive social media use was not associated with well-being: Adolescents who had spent more time actively or passively using social media than their peers did not report significantly higher or lower levels of well-being than their peers. At the within-person level, significant but weak positive correlations were found between the duration of active and passive overall social media use and well-being. This indicates that adolescents felt somewhat better at moments when they had spent more time actively or passively using social media (overall), compared to moments when they had spent less time actively or passively using social media. When looking at specific platforms, a positive correlation was only found for passive WhatsApp use, but not for active WhatsApp use, and not for active and passive Instagram use.

Average and person-specific effects

The within-person associations of social media use with well-being and differences in these associations were tested in a series of multilevel models. We ran separate models for overall social media use (i.e., active use and passive use of adolescents’ three favorite social media platforms, see Table 2 ), Instagram use (see Table 3 ), and WhatsApp use (see Table 4 ). In a first step we examined the average categorical associations for each of these three social media uses using fixed effects models (Models 1A, 3A, and 5A) to investigate whether, on average, adolescents would feel better or worse at moments when they had used social media compared to moments when they had not (i.e., categorical predictors: active use versus no active use, and passive use versus no passive use). In a second step, we examined heterogeneity in the within-person categorical associations by adding random slopes to the fixed effects models (Models 1B, 3B, and 5B). Next, we examined the average dose–response associations using fixed effects models (Models 2A, 4A, and 6A), to investigate whether, on average, adolescents would feel better or worse when they had spent more time using social media (i.e., continuous predictors: duration of active use and duration of passive use). Finally, we examined heterogeneity in the within-person dose–response associations by adding random slopes to the fixed effects models (Models 2B, 4B, and 6B).

Overall social media use.

The model with the categorical predictors (see Table 2 ; Model 1A) showed that, on average, there was no association between overall use and well-being: Adolescents’ well-being did not increase or decrease at moments when they had used social media, either in a passive or active way. However, evidence was found that the association of passive (but not active) social media use with well-being differed from adolescent to adolescent (Model 1B), with effect sizes ranging from − 0.24 to 0.68. For 44.26% of the adolescents the association was non-existent to small (− 0.10 < r < 0.10). However, for 45.90% of the adolescents there was a weak (0.10 < r < 0.20; 8.20%), moderate (0.20 < r < 0.30; 22.95%) or even strong positive ( r ≥ 0.30; 14.75%) association between overall passive social media use and well-being, and for almost one in ten (9.84%) adolescents there was a weak (− 0.20 < r < − 0.10; 6.56%) or moderate negative (− 0.30 < r < − 0.20; 3.28%) association.

The model with continuous predictors (Model 2A) showed that, on average, there was a significant dose–response association for active use. At moments when adolescents had used social media, the time they spent actively (but not passively) using social media was positively associated with well-being: Adolescents felt better at moments when they had spent more time sending messages, posting, or sharing something on social media. The associations of the time spent actively and passively using social media with well-being did not differ across adolescents (Model 2B).

Instagram use

As shown in Model 3A in Table 3 , on average, there was a significant categorical association between passive (but not active) Instagram use and well-being: Adolescents experienced an increase in well-being at moments when they had passively used Instagram (i.e., viewing posts/stories of others). Adolescents did not experience an increase or decrease in well-being when they had actively used Instagram. The associations of passive and active Instagram use with well-being did not differ across adolescents (Model 3B).

On average, no significant dose–response association was found for Instagram use (Model 4A): At moments when adolescents had used Instagram, the time adolescents spent using Instagram (either actively or passively) was not associated with their well-being. However, evidence was found that the association of the time spent passively using Instagram differed from adolescent to adolescent (Model 4B), with effect sizes ranging from − 0.48 to 0.27. For most adolescents (73.91%) the association was non-existent to small (− 0.10 < r < 0.10), but for almost one in five adolescents (17.39%) there was a weak (0.10 < r < 0.20; 10.87%) or moderate (0.20 < r < 0.30; 6.52%) positive association, and for almost one in ten adolescents (8.70%) there was a weak (− 0.20 < r < − 0.10; 2.17%), moderate (− 0.30 < r < − 0.20; 4.35%), or strong ( r ≤ − 0.30; 2.17%) negative association. Figure 1 illustrates these differences in the dose–response associations.

The dose–response association between passive Instagram use (in minutes per hour) and affective well-being for each individual adolescent (n = 46). Red lines represent significant negative within-person associations, green lines represent significant positive within-person associations, and gray lines represent non-significant within-person associations. A graph was created for each participant who had completed at least 10 assessments. A total of 13 participants were excluded because they had completed less than 10 assessments of passive Instagram use. In addition, one participant was excluded because no graph could be computed, since this participant's passive Instagram use was constant across assessments.

WhatsApp use

As shown in Model 5A in Table 4 , just as for Instagram, we found that, on average, there was a significant categorical association between passive (but not active) WhatsApp use and well-being: Adolescents reported that they felt better at moments when they had passively used WhatsApp (i.e., read WhatsApp messages). For active WhatsApp use, no significant association was found. Also, in line with the results for Instagram use, no differences were found regarding the associations of active and passive WhatsApp use (Model 5B).

In addition, a significant dose–response association was found for passive (but not active) use (Model 6A). At moments when adolescents had used WhatsApp, we found that, on average, the time adolescents spent passively using WhatsApp was positively associated with well-being: Adolescents felt better at moments when they had spent more time reading WhatsApp messages. The time spent actively using WhatsApp was not associated with well-being. No differences were found in the dose–response associations of active and passive WhatsApp use (Model 6B).

This preregistered study investigated adolescents’ unique susceptibility to the effects of social media. We found that the associations of passive (but not active) social media use with well-being differed substantially from adolescent to adolescent, with effect sizes ranging from moderately negative (− 0.24) to strongly positive (0.68). While 44.26% of adolescents did not feel better or worse if they had passively used social media, 45.90% felt better, and a small group felt worse (9.84%). In addition, for Instagram the majority of adolescents (73.91%) did not feel better or worse when they had spent more time viewing post or stories of others, whereas some felt better (17.39%), and others (8.70%) felt worse.

These findings have important implications for social media effects research, and media effects research more generally. For decades, researchers have argued that people differ in their susceptibility to the effects of media 17 , leading to numerous investigations of such differential susceptibility. These investigations have typically focused on moderators, based on variables such as sex, age, or personality. Yet, over the years, studies have shown that such moderators appear to have little power to explain how individuals differ in their susceptibility to media effects, probably because a group-differential approach does not account for the possibility that media users may differ across a range of factors, that are not captured by only one (or a few) investigated moderator variables.

By providing insights into each individual’s unique susceptibility, the findings of this study provide an explanation as to why, up until now, most media effects research has only found small effects. We found that the majority of adolescents do not experience any short-term changes in well-being related to their social media use. And if they do experience any changes, these are more often positive than negative. Because only small subsets of adolescents experience small to moderate changes in well-being, the true effects of social media reported in previous studies have probably been diluted across heterogeneous samples of individuals that differ in their susceptibility to media effects (also see 30 ). Several scholars have noted that overall effect sizes may mask more subtle individual differences 14 , 15 , which may explain why previous studies have typically reported small or no effects of social media on well-being or indicators of well-being 6 , 11 , 12 , 13 . The current study seems to confirm this assumption, by showing that while the overall effect sizes are small at best, the person-specific effect sizes vary considerably, from tiny and small to moderate and strong.

As called upon by other scholars 5 , 31 , we disentangled the associations of active and passive use of social media. Research among young adults found that passive (but not active) social media use is associated with lower levels of affective well-being 29 . In line with these findings, the current study shows that active and passive use yielded different associations with adolescents’ affective well-being. Interestingly though, in contrast to previous findings among adults, our study showed that, on average, passive use of Instagram and WhatsApp seemed to enhance rather than decrease adolescents’ well-being. This discrepancy in findings may be attributed to the fact that different mechanisms might be involved. Verduyn and colleagues 29 found that passive use of Facebook undermines adults’ well-being by enhancing envy, which may also explain the decreases in well-being found in our study among a small group of adolescents. Yet, adolescents who felt better by passively using Instagram and WhatsApp, might have felt so because they experienced enjoyment. After all, adolescents often seek positive content on social media, such as humorous posts or memes 32 . Also, research has shown that adolescents mainly receive positive feedback on social media 33 . Hence, their passive Instagram and WhatsApp use may involve the reading of positive feedback, which may explain the increases in well-being.

Overall, the time spent passively using WhatsApp improved adolescents’ well-being. This did not differ from adolescent to adolescent. However, the associations of the time spent passively using Instagram with well-being did differ from adolescent to adolescent. This discrepancy suggests that not all social media uses yield person-specific effects on well-being. A possible explanation may be that adolescents’ responses to WhatsApp are more homogenous than those to Instagram. WhatsApp is a more private platform, which is mostly used for one-to-one communication with friends and acquaintances 26 . Instagram, in contrast, is a more public platform, which allows its users to follow a diverse set of people, ranging from best friends to singers, actors, and influencers 28 , and to engage in intimate communication as well as self-presentation and social comparison. Such diverse uses could lead to more varied, or even opposing responses, such as envy versus inspiration.

Limitations and directions for future research

The current study extends our understanding of differential susceptibility to media effects, by revealing that the effect of social media use on well-being differs from adolescent to adolescent. The findings confirm our assumption that among the great majority of adolescents, social media use is unrelated to well-being, but that among a small subset, social media use is either related to decreases or increases in well-being. It must be noted, however, that participants in this study felt relatively happy, overall. Studies with more vulnerable samples, consisting of clinical samples or youth with lower social-emotional well-being may elicit different patterns of effects 27 . Also, the current study focused on affective well-being, operationalized as happiness. It is plausible that social media use relates differently with other types of well-being, such as cognitive well-being. An important next step is to identify which adolescents are particularly susceptible to experience declines in well-being. It is conceivable, for instance, that the few adolescents who feel worse when they use social media are the ones who receive negative feedback on social media 33 .

In addition, future ESM studies into the effects of social media should attempt to include one or more follow-up measures to improve our knowledge of the longer-term influence of social media use on affective well-being. While a week-long ESM is very common and applied in most earlier ESM studies 34 , a week is only a snapshot of adolescent development. Research is needed that investigates whether the associations of social media use with adolescents’ momentary affective well-being may cumulate into long-lasting consequences. Such investigations could help clarify whether adolescents who feel bad in the short term would experience more negative consequences in the long term, and whether adolescents who feel better would be more resistant to developing long-term negative consequences. And while most adolescents do not seem to experience any short-term increases or decreases in well-being, more research is needed to investigate whether these adolescents may experience a longer-term impact of social media.

While the use of different platforms may be differently associated with well-being, different types of use may also yield different effects. Although the current study distinguished between active and passive use of social media, future research should further differentiate between different activities. For instance, because passive use entails many different activities, from reading private messages (e.g., WhatsApp messages, direct messages on Instagram) to browsing a public feed (e.g., scrolling through posts on Instagram), research is needed that explores the unique effects of passive public use and passive private use. Research that seeks to explore the nuances in adolescents’ susceptibility as well as the nuances in their social media use may truly improve our understanding of the effects of social media use.

Participants

Participants were recruited via a secondary school in the south of the Netherlands. Our preregistered sampling plan set a target sample size of 100 adolescents. We invited adolescents from six classrooms to participate in the study. The final sample consisted of 63 adolescents (i.e., 42% consent rate, which is comparable to other ESM studies among adolescents; see, for instance 35 , 36 ). Informed consent was obtained from all participants and their parents. On average, participants were 15 years old ( M = 15.12 years, SD = 0.51) and 54% were girls. All participants self-identified as Dutch, and 41.3% were enrolled in the prevocational secondary education track, 25.4% in the intermediate general secondary education track, and 33.3% in the academic preparatory education track.

The study was approved by the Ethics Review Board of the Faculty of Social and Behavioral Sciences at the University of Amsterdam and was performed in accordance with the guidelines formulated by the Ethics Review Board. The study consisted of two phases: A baseline survey and a personalized week-long experience sampling (ESM) study. In phase 1, researchers visited the school during school hours. Researchers informed the participants of the objective and procedure of the study and assured them that their responses would be treated confidentially. Participants were asked to sign the consent form. Next, participants completed a 15-min baseline survey. The baseline survey included questions about demographics and assessed which social media each adolescent used most frequently, allowing to personalize the social media questions presented during the ESM study in phase 2. After completing the baseline survey, participants were provided detailed instructions about phase 2.

In phase 2, which took place two and a half weeks after the baseline survey, a 7-day ESM study was conducted, following the guidelines for ESM studies provided by van Roekel and colleagues 34 . Aiming for at least 30 assessments per participant and based on an average compliance rate of 70 to 80% reported in earlier ESM studies among adolescents 34 , we asked each participant to complete a total of 42 ESM surveys (i.e., six 2-min surveys per day). Participants completed the surveys using their own mobile phone, on which the ESM software application Ethica Data was installed during the instruction session with the researchers (phase 1). Each 2-min survey consisted of 22 questions, which assessed adolescents’ well-being and social media use. Two open-ended questions were added to the final survey of the day, which asked about adolescents’ most pleasant and most unpleasant events of the day.

The ESM sampling scheme was semi-random, to allow for randomization and avoid structural patterns in well-being, while taking into account that adolescents were not allowed to use their phone during school time. The Ethica Data app was programmed to generate six beep notifications per day at random time points within a fixed time interval that was tailored to the school’s schedule: before school time (1 beep), during school breaks (2 beeps), and after school time (3 beeps). During the weekend, the beeps were generated during the morning (1 beep), afternoon (3 beeps), and evening (2 beeps). To maximize compliance, a 30-min time window was provided to complete each survey. This time window was extended to one hour for the first survey (morning) and two hours for the final survey (evening) to account for travel time to school and time spent on evening activities. The average compliance rate was 83.2%. A total of 2,155 ESM assessments were collected: Participants completed an average of 34.83 surveys ( SD = 4.91) on a total of 42 surveys, which is high compared to previous ESM studies among adolescents 34 .

The questions of the ESM study were personalized based on the responses to the baseline survey. During the ESM study, each participant reported on his/her use of three different social media platforms: WhatsApp and either Instagram, Snapchat, YouTube, and/or the chat function of games (i.e., the most popular social media platforms among adolescents 28 ). Questions about Instagram and WhatsApp use were only included if the participant had indicated in the baseline survey that s/he used these platforms at least once a week. If a participant had indicated that s/he used Instagram or WhatsApp (or both) less than once a week, s/he was asked to report on the use of Snapchat, YouTube, or the chat function of games, depending on what platform s/he used at least once a week. In addition to Instagram and WhatsApp, questions were asked about a third platform, that was selected based on how frequently the participant used Snapchat, YouTube, or the chat function of games (i.e., at least once a week). This resulted in five different combinations of three platforms: Instagram, WhatsApp, and Snapchat (47 participants); Instagram, WhatsApp, and YouTube (11 participants); Instagram, WhatsApp, and chatting via games (2 participants); WhatsApp, Snapchat, and YouTube (1 participant); and WhatsApp, YouTube, and chatting via games (2 participants).

Frequency of social media use

In the baseline survey, participants were asked to indicate how often they used and checked Instagram, WhatsApp, Snapchat, YouTube, and the chat function of games, using response options ranging from 1 ( never ) to 7 ( more than 12 times per day ). These platforms are the five most popular platforms among Dutch 14- and 15-year-olds 28 . Participants’ responses were used to select the three social media platforms that were assessed in the personalized ESM study.

Duration of social media use

In the ESM study, duration of active and passive social media use was measured by asking participants how much time in the past hour they had spent actively and passively using each of the three platforms that were included in the personalized ESM surveys. Response options ranged from 0 to 60 min , with 5-min intervals. To measure active Instagram use, participants indicated how much time in the past hour they had spent (a) “posting on your feed or sharing something in your story on Instagram” and (b) “sending direct messages/chatting on Instagram.” These two items were summed to create the variable duration of active Instagram use. Sum scores exceeding 60 min (only 0.52% of all assessments) were recoded to 60 min. To measure duration of passive Instagram use, participants indicated how much time in the past hour they had spent “viewing posts/stories of others on Instagram.” To measure the use of WhatsApp, Snapchat, YouTube and game-based chatting, we asked participants how much time they had spent “sending WhatsApp messages” (active use) and “reading WhatsApp messages” (passive use); “sending snaps/messages or sharing something in your story on Snapchat” (active use) and “viewing snaps/stories/messages from others on Snapchat” (passive use); “posting YouTube clips” (active use) and “watching YouTube clips” (passive use); “sending messages via the chat function of a game/games” (active use) and “reading messages via the chat function of a game/games” (passive use). Duration of active and passive overall social media use were created by summing the responses across the three social media platforms for active and passive use, respectively. Sum scores exceeding 60 min (2.13% of all assessments for active overall use; 2.90% for passive overall use) were recoded to 60 min. The duration variables were used to investigate whether the time spent actively or passively using social media was associated with well-being (dose–response associations).

Use/no use of social media

Based on the duration variables, we created six dummy variables, one for active and one for passive overall social media use, one for active and one for passive Instagram use, and one for active and one for passive WhatsApp use (0 = no active use and 1 = active use , and 0 = no passive use and 1 = passive use , respectively). These dummy variables were used to investigate whether the use of social media, irrespective of the duration of use, was associated with well-being (categorical associations).

Consistent with previous ESM studies 19 , 20 , we measured affective well-being using one item, asking “How happy do you feel right now?” at each assessment. Adolescents indicated their response to the question using a 7-point scale ranging from 1 ( not at all ) to 7 ( completely ), with 4 ( a little ) as the midpoint. Convergent validity of this item was established in a separate pilot ESM study among 30 adolescents conducted by the research team of the fourth author: The affective well-being item was strongly correlated with the presence of positive affect and absence of negative affect (assessed by a 10-item positive and negative affect schedule for children; PANAS-C) at both the between-person (positive affect: r = 0.88, p < 0.001; negative affect: r = − 0.62, p < 0.001) and within-person level (positive affect: r = 0.74, p < 0.001; negative affect: r = − 0.58, p < 0.001).

Statistical analyses

Before conducting the analyses, several validation checks were performed (see 34 ). First, we aimed to only include participants in the analyses who had completed more than 33% of all ESM assessments (i.e., at least 14 assessments). Next, we screened participants’ responses to the open questions for unserious responses (e.g., gross comments, jokes). And finally, we inspected time series plots for patterns in answering tendencies. Since all participants completed more than 33% of all ESM assessments, and no inappropriate responses or low-quality data patterns were detected, all participants were included in the analyses.

Following our preregistered analysis plan, we tested the proposed associations in a series of multilevel models. Before doing so, we tested the homoscedasticity and linearity assumptions for multilevel analyses 37 . Inspection of standardized residual plots indicated that the data met these assumptions (plots are available on OSF at https://osf.io/nhks2 ). We specified separate models for overall social media use, use of Instagram, and use of WhatsApp. To investigate to what extent adolescents’ well-being would vary depending on whether they had actively or passively used social media/Instagram/WhatsApp or not during the past hour (categorical associations), we tested models including the dummy variables as predictors (active use versus no active use, and passive use versus no passive use; models 1, 3, and 5). To investigate whether, at moments when adolescents had used social media/Instagram/WhatsApp during the past hour, their well-being would vary depending on the duration of social media/Instagram/WhatsApp use (dose–response associations), we tested models including the duration variables as predictors (duration of active use and duration of passive use; models 2, 4, and 6). In order to avoid negative skew in the duration variables, we only included assessments during which adolescents had used social media in the past hour (overall, Instagram, or WhatsApp, respectively), either actively or passively. All models included well-being as outcome variable. Since multilevel analyses allow to include all available data for each individual, no missing data were imputed and no data points were excluded.

We used a model building approach that involved three steps. In the first step, we estimated an intercept-only model to assess the relative amount of between- and within-person variance in affective well-being. We estimated a three-level model in which repeated momentary assessments (level 1) were nested within adolescents (level 2), who, in turn, were nested within classrooms (level 3). However, because the between-classroom variance in affective well-being was small (i.e., 0.4% of the variance was explained by differences between classes), we proceeded with estimating two-level (instead of three-level) models, with repeated momentary assessments (level 1) nested within adolescents (level 2).

In the second step, we assessed the within-person associations of well-being with (a) overall active and passive social media use (i.e., the total of the three platforms), (b) active and passive use of Instagram, and (c) active and passive use of WhatsApp, by adding fixed effects to the model (Models 1A-6A). To facilitate the interpretation of the associations and control for the effects of time, a covariate was added that controlled for the n th assessment of the study week (instead of the n th assessment of the day, as preregistered). This so-called detrending is helpful to interpret within-person associations as correlated fluctuations beyond other changes in social media use and well-being 38 . In order to obtain within-person estimates, we person-mean centered all predictors 38 . Significance of the fixed effects was determined using the Wald test.

In the third and final step, we assessed heterogeneity in the within-person associations by adding random slopes to the models (Models 1B-6B). Significance of the random slopes was determined by comparing the fit of the fixed effects model with the fit of the random effects model, by performing the Satorra-Bentler scaled chi-square test 39 and by comparing the Bayesian information criterion (BIC 40 ) and Akaike information criterion (AIC 41 ) of the models. When the random effects model had a significantly better fit than the fixed effects model (i.e., pointing at significant heterogeneity), variance components were inspected to investigate whether heterogeneity existed in the association of either active or passive use. Next, when evidence was found for significant heterogeneity, we computed person-specific effect sizes, based on the random effect models, to investigate what percentages of adolescents experienced better well-being, worse well-being, and no changes in well-being. In line with Keijsers and colleagues 42 we only included participants who had completed at least 10 assessments. In addition, for the dose–response associations, we constructed graphical representations of the person-specific slopes, based on the person-specific effect sizes, using the xyplot function from the lattice package in R 43 .

Three improvements were made to our original preregistered plan. First, rather than estimating the models with multilevel modelling in R 43 , we ran the preregistered models in Mplus 44 . Mplus provides standardized estimates for the fixed effects models, which offers insight into the effect sizes. This allowed us to compare the relative strength of the associations of passive versus active use with well-being. Second, instead of using the maximum likelihood estimator, we used the maximum likelihood estimator with robust standard errors (MLR), which are robust to non-normality. Sensitivity tests, uploaded on OSF ( https://osf.io/nhks2 ), indicated that the results were almost identical across the two software packages and estimation approaches. Third, to improve the interpretation of the results and make the scales of the duration measures of social media use and well-being more comparable, we transformed the social media duration scores (0 to 60 min) into scales running from 0 to 6, so that an increase of 1 unit reflects 10 min of social media use. The model estimates were unaffected by this transformation.

Reporting summary

Further information on the research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

The dataset generated and analysed during the current study is available in Figshare 45 . The preregistration of the design, sampling and analysis plan, and the analysis scripts used to analyse the data for this paper are available online on the Open Science Framework website ( https://osf.io/nhks2 ).

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Acknowledgements

This study was funded by the NWO Spinoza Prize and the Gravitation grant (NWO Grant 024.001.003; Consortium on Individual Development) awarded to P.M.V. by the Dutch Research Council (NWO). Additional funding was received from the VIDI grant (NWO VIDI Grant 452.17.011) awarded to L.K. by the Dutch Research Council (NWO). The authors would like to thank Savannah Boele (Tilburg University) for providing her pilot ESM results.

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Ine Beyens, J. Loes Pouwels, Irene I. van Driel & Patti M. Valkenburg

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I.B., J.L.P., I.I.v.D., L.K., and P.M.V. designed the study; I.B., J.L.P., and I.I.v.D. collected the data; I.B., J.L.P., and L.K. analyzed the data; and I.B., J.L.P., I.I.v.D., L.K., and P.M.V. contributed to writing and reviewing the manuscript.

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Beyens, I., Pouwels, J.L., van Driel, I.I. et al. The effect of social media on well-being differs from adolescent to adolescent. Sci Rep 10 , 10763 (2020). https://doi.org/10.1038/s41598-020-67727-7

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Social media research: Step-by-step tutorial with examples

Introduction: What is social media research?
Step 1: Develop a research design
Step 2: Collect & import your social media data
Step 3: Data preparation

Step 4: Get an overview

Step 5: Categorize your data
Step 6: Aggregate & present your results

Further learning materials

Friday, January 5, 2024

How to conduct social media research with MAXQDA?

Social Media has drastically changed the way we communicate. Nowadays it’s a lot easier for an individual to communicate with a large audience or with strangers living on the other side of the planet, and to find and communicate with others researching similar topics. Companies, organizations, and political parties can target a specific group of people for their campaign and receive immediate feedback. So, it’s not a surprise that online communication has become more prevalent, which in turn has increased the significance of social media platforms.

Researchers and marketers alike benefit from the wealth of data available on social media platforms, gaining insights into the public’s opinions, communication patterns, and more. Social media research describes the process of collecting and analyzing social media data, such as posts, comments, and likes in order to understand communication patterns, public opinions, and trends.

Who conducts social media research?

Compared to other data collection instruments, such as focus group discussions, collecting social media data is less resource-intensive as the data is easily accessible. However, researchers are confronted with extensive data when performing social media research. Depending on the topic thousands and thousands of posts and comments exist. Consequently, social media researchers need QDA software that is well-equipped for challenges like these, such as MAXQDA. MAXQDA can facilitate your social media research with its numerous data organization and analysis tools. MAXQDA’s auto-coding and sentiment analysis are particularly useful tools, allowing you to explore many posts without reading each one individually. Furthermore, AI Assist, MAXQDA’s AI-based features, are well-suited to handle big data. In the present guide we aim to explain how you can perform social media research with MAXQDA.

Step 1: Develop a research design for social media research

As for any other research project, we advise you to develop a research design before starting your social media research. A research design serves as a structured plan outlining how a researcher intends to answer a specific research question. Determine the specific social media data you wish to analyze and define the precise methodology for your analysis. Among other considerations, ask yourself which social media platform(s) you want to consider, whether there is a time frame of interest; and if you plan to exclusively focus on social media posts containing particular hashtags or keywords. You must address these questions to develop a well-designed study that ensures reliable and valid results. We recommend reading our Research Design guide if you need clarification on what a research design entails.

Please note that the order of the steps presented here is flexible and depends on your research design and research question.

Step 2: Collect & import your social media data

With MAXQDA, you have several options for importing your social media data. On the one side, MAXQDA provides specialized import tools for YouTube comments and specialized analysis tools for YouTube data and X (formerly known as Twitter) data. Suppose you want to import and analyze data from a different social media platform. Then, you can either use MAXQDA’s WebCollector to collect and import entire webpages into MAXQDA or another social media data collection service, saving the data in a MAXQDA-compatible format, like an Excel file. There are several online tools for exporting social media data.

MAXQDA’s WebCollector

You can use MAXQDA’s WebCollector – a free Chrome Browser extension – to export entire websites in a format that can be imported into MAXQDA. The free MAXQDA WebCollector is availale on the Chrome WebStore.

Get the MAXQDA WebCollector

After installing the extension, export the webpage from your social media platform of interest. In the case of X (formerly known as Twitter) you have two options. You can either export only top-level posts or a specific top-level post, including all its replies. Search for a hashtag and export the search results, i.e., all posts containing this hashtag, by opening the WebCollector extension and clicking “Collect.” If you want, you can add notes in the Document Memo section, such as the time frame or other parameters of your search. Upon import into MAXQDA, these notes will be imported as a Document Memo.

Use the MAXQDA WebCollector to export social media data

In the case you are specifically interested in specific posts, e.g., posts from a certain account or posts with a lot of replies, click on the post so that the original post and all comments are displayed. Now, export the website with MAXQDA’s WebCollector to compile the original posts, including all replies.

Step 3: Social media research data preparation

Before starting the actual analysis, you might want to clean and organize your data in a meaningful way. For example, you could remove irrelevant and duplicate posts. You could also organize your data in document groups, e.g., based on the social media platform, a time range, a hashtag, or whatever category is important to your social media research.

Organize your data in Document groups

You may add variables to the imported social media data depending on your research design. For example, when investigating social media trends over time, it can be handy for further analysis to add variables such as the date and timing of the post. To do so, simply go to the “Variables” tab and click “List of Document Variables.” By clicking “New variable,” you can add new variables, specify their type, and define missing values.

Add document variables to improve your social media research

Depending on your research approach, you might benefit from an overview of the data before creating and applying codes, e.g., when following an inductive approach. In other cases, you might already have codes in mind and use them prior to summarizing the data, e.g., in deductive approaches.

When following an inductive approach, you might want to get a basic understanding of the collected social media data and base your codes on the actual content. MAXQDA offers numerous tools, allowing you to get a quick overview. Especially useful when working with big data, such as in social media research, are MAXQDA’s auto-coding and AI-based tools.

Summarize social media data with AI Assist

We acknowledge that AI can assist researchers in qualitative data analysis as well as in other areas of life. Therefore, we developed the AI Assist add-on – your virtual research assistant. AI Assist features several tools that can facilitate your social media research. AI Assist’s Summarize Document function is handy for a quick content overview. This feature creates a summary of entire documents, e.g., of a post and its replies, which it stores in Document Memos. To let AI Assist summarize your document, right-click on it in the Documents window, and choose AI Assist > Summarize Document. You can edit and refine the summary within the Document Memo. These summaries might help you get an idea about the key points discussed and develop codes accordingly.

With AI-generated summaries you can speed up your social media research

Automatically analyze the public’s sentiment

Often, people performing social media research are not interested in every single opinion of every single individual but in the general sentiment towards a topic, politician, issue, or product. With MAXQDA, you can perform a sentiment analysis in no time. To perform a sentiment analysis, open the Smart Coding Tool in the Codes tab. Since the Smart Coding tool works on the level of coded segments, you need to dummy-code your data prior to the sentiment analysis. When importing YouTube comments, comments and replies are automatically coded. However, when importing data through other means, such as via the WebCollector, you may want to manually create the codes ‘post’ and ‘reply’ to quickly code your data. Subsequently, you can perform automatic sentiment analysis by clicking on the button “Analyze Sentiments.” To autocode your social media data with the respective sentiment, click “Autocode Segments with Sentiment.” Then, MAXQDA creates the code ‘Sentiment’ with the identified sentiments as subcodes. By looking at the code frequencies you get a first impression of the general public sentiment.

Autocode the sentiment of your social media data

Subsequently, you can use MAXQDA’s retrieval function to, e.g., focus your social media research on negative posts. To do so, simply activate the documents of interest and the code ‘Sentiment’ > ‘Negative’. All text segments coded with this code will be displayed in the Retrieved Segments window. If you plan to create subcodes, for example to divide the negative sentiment into reasons why people dislike your product, you can again use the Smart Coding tool. Select the code ‘Negative’ from the Code tree on the left site and MAXQDA will display only the segments with a negative sentiment to which you can apply additional codes.

Summarize coded segments with AI Assist

Rather than going through the ‘Negative’ posts individually, you can again use the power of artificial intelligence to create a summary of the coded segments. To do so, right-click the code ‘Negative’ in the Codes window and select AI Assist > Summarize coded segments. Similarly, to the Summarize Document feature, AI Assist will add the summary in a memo.

Step 5: Categorize your social media research data

In many qualitative research projects, including social media research, coding/categorizing your data is an important step. When working inductively, the AI-generated summaries might provide initial ideas for codes. When working deductively, you probably already have codes in mind. With MAXQDA you can easily create codes, assign code colors, and define rules for coding in the New Code window regardless of your approach. Furthermore, you can organize your codes hierarchically. But there is more – MAXQDA allows you to create emoticodes which might come handy when analyzing social media data. For more information on various coding methods, you can refer to:

Learn more about coding with MAXQDA

Autocode your social media data

Especially useful for big data is MAXQDA’s Text Search & Autocode feature, which is located in the Analysis tab. This feature allows you to search for keywords and automatically code them. You can also use logical operators, such as OR, to search for a list of keywords simultaneously e.g., to find all synonyms of a word with just one search. If you are interested in certain concepts, you can create dictionaries of keywords defining the concept and search for multiple concepts at once (search for the whole dictionary). To do so, you first need to create a dictionary. Therefore, go to the MAXDictio tab and select Dictionaries.

Search & autocode important keywords for your social media research

Generate subcode suggestions with AI Assist

In the coding of qualitative data, researchers often start with broad codes, intending to refine them in a later step of the social media research. Alongside the Smart Coding Tool, which is ideal for code refinement, as explained earlier, AI Assist’s “Suggest Subcodes” is another valuable tool. You can use this feature to to get subcode suggestions. Simply, right-click on a code and select AI Assist > Subcode Suggestions.

Step 6: Aggregate & present your results

A crucial step involves consolidating your social media research results into a format that is easily understandable for others. For example, charts and visualisations can aggregate huge amount of data in an easily comprehensible graph that answers your research question. Of course, MAXQDA has integrated visualisation and charting tools. Some tools that might be especially useful for presenting social media data are presented in the following sections.

Word Cloud for visualizing the most frequent words

MAXQDA’s World Cloud, which can also be used with data that hasn’t been coded, is one of the most appropriate visualization tools in social media research. Select the document(s) that serve as the basis for your word cloud and generate a visual representation of the most recurring words. To exclude frequent, yet non-informative words such as ‘the’ or ‘a,’ you can apply a stop word list to the data, effectively filtering out these ubiquitous terms. We offer several Stop Word Lists in several languages on our website, so you don’t have to create one yourself.

Get Stop Word Lists

Word Cloud displaying the most frequent words of YouTube comments

Visualize trends

If your social media research analyzes a topic over time, the Trends function might also interest you. Currently, MAXQDA offers Word Trends, Code Trends, and Dictionary Categories Trends. To explore how code or word frequencies change across time, you should store your social media data in distinct documents – one document per time range. While Word Trends can be used even when the data is not coded, Code Trends requires coded data. No matter whether you are using Code or Word trends, select Trends for multiple documents. Then, select the documents (and codes) of interest and MAXQDA will visualize them. For example, you can use the Code Trends tool on auto-generated sentiment codes to investigate how sentiments towards a topic change over time.

Aside from analyzing trends across time, you can also use MAXQDA’s Trends tool to compare reactions, e.g., between different social media plattforms. To do this, you need to organize your data as follows: create a separate document for each social media plattform containing all posts of interest. Next, choose your preferred Trends tool and again choose trends for multiple documents. In case you are interested in how a discussion evolves in a comment section, given that the data is stored in one document, you can opt for the single document trends feature. MAXQDA splits the document in 10 segments, allowing you to see how word/code frequencies look across them.

Visualizing sentiment trends for #maxqda across weeks

Write your report with QTT

Questions-Themes-Theories (QTT) provides an innovative workspace for gathering important visualizations, notes, segments, and other analytical results. It is an excellent tool for organizing your thoughts and crafting your social media research report. To get started, create a dedicated worksheet for your topics and research questions, and populate it with pertinent analysis elements extracted from other MAXQDA functions. For example, you can incorporate your Trends visualization to a QTT worksheet by clicking on the button, as shown in the screenshot below. Exploratory coded segments related to a set of social media posts can be added to the QTT worksheet via the context menu. For each imported element you can add insights. Furthermore, you have the option to add your conclusions and theories, as well as your research design. Subsequently, you can view all analysis elements and insights to write your final conclusion. The new Questions-Themes-Theories tool is designed to assist you finalize your social media research. With just one click, you can export your worksheet and use it as a starting point for your social media research report.

Add a visualization to a QTT worksheet

We offer a variety of complimentary learning materials to help you get started with your social media research. Check out the recording of a spotlight session on analyzing social media data with MAXQDA which was held at the MAXDAYS conference in 2023. In addition, the free book “The Practice of Qualitative Data Analysis,” provides ten case studies with brief real-world examples, demonstrating MAXQDA’s practical applications.

Spotlight Session: Analyzing Social Media Data with MAXQDA

The Practice of Qualitative Data Analysis

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Front Psychiatry

Research trends in social media addiction and problematic social media use: A bibliometric analysis

Alfonso pellegrino.

1 Sasin School of Management, Chulalongkorn University, Bangkok, Thailand

Alessandro Stasi

2 Business Administration Division, Mahidol University International College, Mahidol University, Nakhon Pathom, Thailand

Veera Bhatiasevi

Associated data.

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.

Despite their increasing ubiquity in people's lives and incredible advantages in instantly interacting with others, social media's impact on subjective well-being is a source of concern worldwide and calls for up-to-date investigations of the role social media plays in mental health. Much research has discovered how habitual social media use may lead to addiction and negatively affect adolescents' school performance, social behavior, and interpersonal relationships. The present study was conducted to review the extant literature in the domain of social media and analyze global research productivity during 2013–2022. Bibliometric analysis was conducted on 501 articles that were extracted from the Scopus database using the keywords social media addiction and problematic social media use. The data were then uploaded to VOSviewer software to analyze citations, co-citations, and keyword co-occurrences. Volume, growth trajectory, geographic distribution of the literature, influential authors, intellectual structure of the literature, and the most prolific publishing sources were analyzed. The bibliometric analysis presented in this paper shows that the US, the UK, and Turkey accounted for 47% of the publications in this field. Most of the studies used quantitative methods in analyzing data and therefore aimed at testing relationships between variables. In addition, the findings in this study show that most analysis were cross-sectional. Studies were performed on undergraduate students between the ages of 19–25 on the use of two social media platforms: Facebook and Instagram. Limitations as well as research directions for future studies are also discussed.

Introduction

Social media generally refers to third-party internet-based platforms that mainly focus on social interactions, community-based inputs, and content sharing among its community of users and only feature content created by their users and not that licensed from third parties ( 1 ). Social networking sites such as Facebook, Instagram, and TikTok are prominent examples of social media that allow people to stay connected in an online world regardless of geographical distance or other obstacles ( 2 , 3 ). Recent evidence suggests that social networking sites have become increasingly popular among adolescents following the strict policies implemented by many countries to counter the COVID-19 pandemic, including social distancing, “lockdowns,” and quarantine measures ( 4 ). In this new context, social media have become an essential part of everyday life, especially for children and adolescents ( 5 ). For them such media are a means of socialization that connect people together. Interestingly, social media are not only used for social communication and entertainment purposes but also for sharing opinions, learning new things, building business networks, and initiate collaborative projects ( 6 ).

Among the 7.91 billion people in the world as of 2022, 4.62 billion active social media users, and the average time individuals spent using the internet was 6 h 58 min per day with an average use of social media platforms of 2 h and 27 min ( 7 ). Despite their increasing ubiquity in people's lives and the incredible advantages they offer to instantly interact with people, an increasing number of studies have linked social media use to negative mental health consequences, such as suicidality, loneliness, and anxiety ( 8 ). Numerous sources have expressed widespread concern about the effects of social media on mental health. A 2011 report by the American Academy of Pediatrics (AAP) identifies a phenomenon known as Facebook depression which may be triggered “when preteens and teens spend a great deal of time on social media sites, such as Facebook, and then begin to exhibit classic symptoms of depression” ( 9 ). Similarly, the UK's Royal Society for Public Health (RSPH) claims that there is a clear evidence of the relationship between social media use and mental health issues based on a survey of nearly 1,500 people between the ages of 14–24 ( 10 ). According to some authors, the increase in usage frequency of social media significantly increases the risks of clinical disorders described (and diagnosed) as “Facebook depression,” “fear of missing out” (FOMO), and “social comparison orientation” (SCO) ( 11 ). Other risks include sexting ( 12 ), social media stalking ( 13 ), cyber-bullying ( 14 ), privacy breaches ( 15 ), and improper use of technology. Therefore, social media's impact on subjective well-being is a source of concern worldwide and calls for up-to-date investigations of the role social media plays with regard to mental health ( 8 ). Many studies have found that habitual social media use may lead to addiction and thus negatively affect adolescents' school performance, social behavior, and interpersonal relationships ( 16 – 18 ). As a result of addiction, the user becomes highly engaged with online activities motivated by an uncontrollable desire to browse through social media pages and “devoting so much time and effort to it that it impairs other important life areas” ( 19 ).

Given these considerations, the present study was conducted to review the extant literature in the domain of social media and analyze global research productivity during 2013–2022. The study presents a bibliometric overview of the leading trends with particular regard to “social media addiction” and “problematic social media use.” This is valuable as it allows for a comprehensive overview of the current state of this field of research, as well as identifies any patterns or trends that may be present. Additionally, it provides information on the geographical distribution and prolific authors in this area, which may help to inform future research endeavors.

In terms of bibliometric analysis of social media addiction research, few studies have attempted to review the existing literature in the domain extensively. Most previous bibliometric studies on social media addiction and problematic use have focused mainly on one type of screen time activity such as digital gaming or texting ( 20 ) and have been conducted with a focus on a single platform such as Facebook, Instagram, or Snapchat ( 21 , 22 ). The present study adopts a more comprehensive approach by including all social media platforms and all types of screen time activities in its analysis.

Additionally, this review aims to highlight the major themes around which the research has evolved to date and draws some guidance for future research directions. In order to meet these objectives, this work is oriented toward answering the following research questions:

(1) What is the current status of research focusing on social media addiction?
(2) What are the key thematic areas in social media addiction and problematic use research?
(3) What is the intellectual structure of social media addiction as represented in the academic literature?
(4) What are the key findings of social media addiction and problematic social media research?
(5) What possible future research gaps can be identified in the field of social media addiction?

These research questions will be answered using bibliometric analysis of the literature on social media addiction and problematic use. This will allow for an overview of the research that has been conducted in this area, including information on the most influential authors, journals, countries of publication, and subject areas of study. Part 2 of the study will provide an examination of the intellectual structure of the extant literature in social media addiction while Part 3 will discuss the research methodology of the paper. Part 4 will discuss the findings of the study followed by a discussion under Part 5 of the paper. Finally, in Part 7, gaps in current knowledge about this field of research will be identified.

Literature review

Social media addiction research context.

Previous studies on behavioral addictions have looked at a lot of different factors that affect social media addiction focusing on personality traits. Although there is some inconsistency in the literature, numerous studies have focused on three main personality traits that may be associated with social media addiction, namely anxiety, depression, and extraversion ( 23 , 24 ).

It has been found that extraversion scores are strongly associated with increased use of social media and addiction to it ( 25 , 26 ). People with social anxiety as well as people who have psychiatric disorders often find online interactions extremely appealing ( 27 ). The available literature also reveals that the use of social media is positively associated with being female, single, and having attention deficit hyperactivity disorder (ADHD), obsessive compulsive disorder (OCD), or anxiety ( 28 ).

In a study by Seidman ( 29 ), the Big Five personality traits were assessed using Saucier's ( 30 ) Mini-Markers Scale. Results indicated that neurotic individuals use social media as a safe place for expressing their personality and meet belongingness needs. People affected by neurosis tend to use online social media to stay in touch with other people and feel better about their social lives ( 31 ). Narcissism is another factor that has been examined extensively when it comes to social media, and it has been found that people who are narcissistic are more likely to become addicted to social media ( 32 ). In this case users want to be seen and get “likes” from lots of other users. Longstreet and Brooks ( 33 ) did a study on how life satisfaction depends on how much money people make. Life satisfaction was found to be negatively linked to social media addiction, according to the results. When social media addiction decreases, the level of life satisfaction rises. But results show that in lieu of true-life satisfaction people use social media as a substitute (for temporary pleasure vs. longer term happiness).

Researchers have discovered similar patterns in students who tend to rank high in shyness: they find it easier to express themselves online rather than in person ( 34 , 35 ). With the use of social media, shy individuals have the opportunity to foster better quality relationships since many of their anxiety-related concerns (e.g., social avoidance and fear of social devaluation) are significantly reduced ( 36 , 37 ).

Problematic use of social media

The amount of research on problematic use of social media has dramatically increased since the last decade. But using social media in an unhealthy manner may not be considered an addiction or a disorder as this behavior has not yet been formally categorized as such ( 38 ). Although research has shown that people who use social media in a negative way often report negative health-related conditions, most of the data that have led to such results and conclusions comprise self-reported data ( 39 ). The dimensions of excessive social media usage are not exactly known because there are not enough diagnostic criteria and not enough high-quality long-term studies available yet. This is what Zendle and Bowden-Jones ( 40 ) noted in their own research. And this is why terms like “problematic social media use” have been used to describe people who use social media in a negative way. Furthermore, if a lot of time is spent on social media, it can be hard to figure out just when it is being used in a harmful way. For instance, people easily compare their appearance to what they see on social media, and this might lead to low self-esteem if they feel they do not look as good as the people they are following. According to research in this domain, the extent to which an individual engages in photo-related activities (e.g., taking selfies, editing photos, checking other people's photos) on social media is associated with negative body image concerns. Through curated online images of peers, adolescents face challenges to their self-esteem and sense of self-worth and are increasingly isolated from face-to-face interaction.

To address this problem the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) has been used by some scholars ( 41 , 42 ). These scholars have used criteria from the DSM-V to describe one problematic social media use, internet gaming disorder, but such criteria could also be used to describe other types of social media disorders. Franchina et al. ( 43 ) and Scott and Woods ( 44 ), for example, focus their attention on individual-level factors (like fear of missing out) and family-level factors (like childhood abuse) that have been used to explain why people use social media in a harmful way. Friends-level factors have also been explored as a social well-being measurement to explain why people use social media in a malevolent way and demonstrated significant positive correlations with lower levels of friend support ( 45 ). Macro-level factors have also been suggested, such as the normalization of surveillance ( 46 ) and the ability to see what people are doing online ( 47 ). Gender and age seem to be highly associated to the ways people use social media negatively. Particularly among girls, social media use is consistently associated with mental health issues ( 41 , 48 , 49 ), an association more common among older girls than younger girls ( 46 , 48 ).

Most studies have looked at the connection between social media use and its effects (such as social media addiction) and a number of different psychosomatic disorders. In a recent study conducted by Vannucci and Ohannessian ( 50 ), the use of social media appears to have a variety of effects “on psychosocial adjustment during early adolescence, with high social media use being the most problematic.” It has been found that people who use social media in a harmful way are more likely to be depressed, anxious, have low self-esteem, be more socially isolated, have poorer sleep quality, and have more body image dissatisfaction. Furthermore, harmful social media use has been associated with unhealthy lifestyle patterns (for example, not getting enough exercise or having trouble managing daily obligations) as well as life threatening behaviors such as illicit drug use, excessive alcohol consumption and unsafe sexual practices ( 51 , 52 ).

A growing body of research investigating social media use has revealed that the extensive use of social media platforms is correlated with a reduced performance on cognitive tasks and in mental effort ( 53 ). Overall, it appears that individuals who have a problematic relationship with social media or those who use social media more frequently are more likely to develop negative health conditions.

Social media addiction and problematic use systematic reviews

Previous studies have revealed the detrimental impacts of social media addiction on users' health. A systematic review by Khan and Khan ( 20 ) has pointed out that social media addiction has a negative impact on users' mental health. For example, social media addiction can lead to stress levels rise, loneliness, and sadness ( 54 ). Anxiety is another common mental health problem associated with social media addiction. Studies have found that young adolescents who are addicted to social media are more likely to suffer from anxiety than people who are not addicted to social media ( 55 ). In addition, social media addiction can also lead to physical health problems, such as obesity and carpal tunnel syndrome a result of spending too much time on the computer ( 22 ).

Apart from the negative impacts of social media addiction on users' mental and physical health, social media addiction can also lead to other problems. For example, social media addiction can lead to financial problems. A study by Sharif and Yeoh ( 56 ) has found that people who are addicted to social media tend to spend more money than those who are not addicted to social media. In addition, social media addiction can also lead to a decline in academic performance. Students who are addicted to social media are more likely to have lower grades than those who are not addicted to social media ( 57 ).

Research methodology

Bibliometric analysis.

Merigo et al. ( 58 ) use bibliometric analysis to examine, organize, and analyze a large body of literature from a quantitative, objective perspective in order to assess patterns of research and emerging trends in a certain field. A bibliometric methodology is used to identify the current state of the academic literature, advance research. and find objective information ( 59 ). This technique allows the researchers to examine previous scientific work, comprehend advancements in prior knowledge, and identify future study opportunities.

To achieve this objective and identify the research trends in social media addiction and problematic social media use, this study employs two bibliometric methodologies: performance analysis and science mapping. Performance analysis uses a series of bibliometric indicators (e.g., number of annual publications, document type, source type, journal impact factor, languages, subject area, h-index, and countries) and aims at evaluating groups of scientific actors on a particular topic of research. VOSviewer software ( 60 ) was used to carry out the science mapping. The software is used to visualize a particular body of literature and map the bibliographic material using the co-occurrence analysis of author, index keywords, nations, and fields of publication ( 61 , 62 ).

Data collection

After picking keywords, designing the search strings, and building up a database, the authors conducted a bibliometric literature search. Scopus was utilized to gather exploration data since it is a widely used database that contains the most comprehensive view of the world's research output and provides one of the most effective search engines. If the research was to be performed using other database such as Web Of Science or Google Scholar the authors may have obtained larger number of articles however they may not have been all particularly relevant as Scopus is known to have the most widest and most relevant scholar search engine in marketing and social science. A keyword search for “social media addiction” OR “problematic social media use” yielded 553 papers, which were downloaded from Scopus. The information was gathered in March 2022, and because the Scopus database is updated on a regular basis, the results may change in the future. Next, the authors examined the titles and abstracts to see whether they were relevant to the topics treated. There were two common grounds for document exclusion. First, while several documents emphasized the negative effects of addiction in relation to the internet and digital media, they did not focus on social networking sites specifically. Similarly, addiction and problematic consumption habits were discussed in relation to social media in several studies, although only in broad terms. This left a total of 511 documents. Articles were then limited only to journal articles, conference papers, reviews, books, and only those published in English. This process excluded 10 additional documents. Then, the relevance of the remaining articles was finally checked by reading the titles, abstracts, and keywords. Documents were excluded if social networking sites were only mentioned as a background topic or very generally. This resulted in a final selection of 501 research papers, which were then subjected to bibliometric analysis (see Figure 1 ).

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Preferred reporting items for systematic reviews and meta-analysis (PRISMA) flowchart showing the search procedures used in the review.

After identifying 501 Scopus files, bibliographic data related to these documents were imported into an Excel sheet where the authors' names, their affiliations, document titles, keywords, abstracts, and citation figures were analyzed. These were subsequently uploaded into VOSViewer software version 1.6.8 to begin the bibliometric review. Descriptive statistics were created to define the whole body of knowledge about social media addiction and problematic social media use. VOSViewer was used to analyze citation, co-citation, and keyword co-occurrences. According to Zupic and Cater ( 63 ), co-citation analysis measures the influence of documents, authors, and journals heavily cited and thus considered influential. Co-citation analysis has the objective of building similarities between authors, journals, and documents and is generally defined as the frequency with which two units are cited together within the reference list of a third article.

The implementation of social media addiction performance analysis was conducted according to the models recently introduced by Karjalainen et al. ( 64 ) and Pattnaik ( 65 ). Throughout the manuscript there are operational definitions of relevant terms and indicators following a standardized bibliometric approach. The cumulative academic impact (CAI) of the documents was measured by the number of times they have been cited in other scholarly works while the fine-grained academic impact (FIA) was computed according to the authors citation analysis and authors co-citation analysis within the reference lists of documents that have been specifically focused on social media addiction and problematic social media use.

Results of the study presented here include the findings on social media addiction and social media problematic use. The results are presented by the foci outlined in the study questions.

Volume, growth trajectory, and geographic distribution of the literature

After performing the Scopus-based investigation of the current literature regarding social media addiction and problematic use of social media, the authors obtained a knowledge base consisting of 501 documents comprising 455 journal articles, 27 conference papers, 15 articles reviews, 3 books and 1 conference review. The included literature was very recent. As shown in Figure 2 , publication rates started very slowly in 2013 but really took off in 2018, after which publications dramatically increased each year until a peak was reached in 2021 with 195 publications. Analyzing the literature published during the past decade reveals an exponential increase in scholarly production on social addiction and its problematic use. This might be due to the increasingly widespread introduction of social media sites in everyday life and the ubiquitous diffusion of mobile devices that have fundamentally impacted human behavior. The dip in the number of publications in 2022 is explained by the fact that by the time the review was carried out the year was not finished yet and therefore there are many articles still in press.

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Annual volume of social media addiction or social media problematic use ( n = 501).

The geographical distribution trends of scholarly publications on social media addiction or problematic use of social media are highlighted in Figure 3 . The articles were assigned to a certain country according to the nationality of the university with whom the first author was affiliated with. The figure shows that the most productive countries are the USA (92), the U.K. (79), and Turkey ( 63 ), which combined produced 236 articles, equal to 47% of the entire scholarly production examined in this bibliometric analysis. Turkey has slowly evolved in various ways with the growth of the internet and social media. Anglo-American scholarly publications on problematic social media consumer behavior represent the largest research output. Yet it is interesting to observe that social networking sites studies are attracting many researchers in Asian countries, particularly China. For many Chinese people, social networking sites are a valuable opportunity to involve people in political activism in addition to simply making purchases ( 66 ).

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Global dispersion of social networking sites in relation to social media addiction or social media problematic use.

Analysis of influential authors

This section analyses the high-impact authors in the Scopus-indexed knowledge base on social networking sites in relation to social media addiction or problematic use of social media. It provides valuable insights for establishing patterns of knowledge generation and dissemination of literature about social networking sites relating to addiction and problematic use.

Table 1 acknowledges the top 10 most highly cited authors with the highest total citations in the database.

Highly cited authors on social media addiction and problematic use ( n = 501).

a Total link strength indicates the number of publications in which an author occurs.

Table 1 shows that MD Griffiths (sixty-five articles), CY Lin (twenty articles), and AH Pakpour (eighteen articles) are the most productive scholars according to the number of Scopus documents examined in the area of social media addiction and its problematic use . If the criteria are changed and authors ranked according to the overall number of citations received in order to determine high-impact authors, the same three authors turn out to be the most highly cited authors. It should be noted that these highly cited authors tend to enlist several disciplines in examining social media addiction and problematic use. Griffiths, for example, focuses on behavioral addiction stemming from not only digital media usage but also from gambling and video games. Lin, on the other hand, focuses on the negative effects that the internet and digital media can have on users' mental health, and Pakpour approaches the issue from a behavioral medicine perspective.

Intellectual structure of the literature

In this part of the paper, the authors illustrate the “intellectual structure” of the social media addiction and the problematic use of social media's literature. An author co-citation analysis (ACA) was performed which is displayed as a figure that depicts the relations between highly co-cited authors. The study of co-citation assumes that strongly co-cited authors carry some form of intellectual similarity ( 67 ). Figure 4 shows the author co-citation map. Nodes represent units of analysis (in this case scholars) and network ties represent similarity connections. Nodes are sized according to the number of co-citations received—the bigger the node, the more co-citations it has. Adjacent nodes are considered intellectually similar.

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Two clusters, representing the intellectual structure of the social media and its problematic use literature.

Scholars belonging to the green cluster (Mental Health and Digital Media Addiction) have extensively published on medical analysis tools and how these can be used to heal users suffering from addiction to digital media, which can range from gambling, to internet, to videogame addictions. Scholars in this school of thought focus on the negative effects on users' mental health, such as depression, anxiety, and personality disturbances. Such studies focus also on the role of screen use in the development of mental health problems and the increasing use of medical treatments to address addiction to digital media. They argue that addiction to digital media should be considered a mental health disorder and treatment options should be made available to users.

In contrast, scholars within the red cluster (Social Media Effects on Well Being and Cyberpsychology) have focused their attention on the effects of social media toward users' well-being and how social media change users' behavior, focusing particular attention on the human-machine interaction and how methods and models can help protect users' well-being. Two hundred and two authors belong to this group, the top co-cited being Andreassen (667 co-citations), Pallasen (555 co-citations), and Valkenburg (215 co-citations). These authors have extensively studied the development of addiction to social media, problem gambling, and internet addiction. They have also focused on the measurement of addiction to social media, cyberbullying, and the dark side of social media.

Most influential source title in the field of social media addiction and its problematic use

To find the preferred periodicals in the field of social media addiction and its problematic use, the authors have selected 501 articles published in 263 journals. Table 2 gives a ranked list of the top 10 journals that constitute the core publishing sources in the field of social media addiction research. In doing so, the authors analyzed the journal's impact factor, Scopus Cite Score, h-index, quartile ranking, and number of publications per year.

Top 10 most cited and more frequently mentioned documents in the field of social media addiction.

The journal Addictive Behaviors topped the list, with 700 citations and 22 publications (4.3%), followed by Computers in Human Behaviors , with 577 citations and 13 publications (2.5%), Journal of Behavioral Addictions , with 562 citations and 17 publications (3.3%), and International Journal of Mental Health and Addiction , with 502 citations and 26 publications (5.1%). Five of the 10 most productive journals in the field of social media addiction research are published by Elsevier (all Q1 rankings) while Springer and Frontiers Media published one journal each.

Documents citation analysis identified the most influential and most frequently mentioned documents in a certain scientific field. Andreassen has received the most citations among the 10 most significant papers on social media addiction, with 405 ( Table 2 ). The main objective of this type of studies was to identify the associations and the roles of different variables as predictors of social media addiction (e.g., ( 19 , 68 , 69 )). According to general addiction models, the excessive and problematic use of digital technologies is described as “being overly concerned about social media, driven by an uncontrollable motivation to log on to or use social media, and devoting so much time and effort to social media that it impairs other important life areas” ( 27 , 70 ). Furthermore, the purpose of several highly cited studies ( 31 , 71 ) was to analyse the connections between young adults' sleep quality and psychological discomfort, depression, self-esteem, and life satisfaction and the severity of internet and problematic social media use, since the health of younger generations and teenagers is of great interest this may help explain the popularity of such papers. Despite being the most recent publication Lin et al.'s work garnered more citations annually. The desire to quantify social media addiction in individuals can also help explain the popularity of studies which try to develop measurement scales ( 42 , 72 ). Some of the highest-ranked publications are devoted to either the presentation of case studies or testing relationships among psychological constructs ( 73 ).

Keyword co-occurrence analysis

The research question, “What are the key thematic areas in social media addiction literature?” was answered using keyword co-occurrence analysis. Keyword co-occurrence analysis is conducted to identify research themes and discover keywords. It mainly examines the relationships between co-occurrence keywords in a wide variety of literature ( 74 ). In this approach, the idea is to explore the frequency of specific keywords being mentioned together.

Utilizing VOSviewer, the authors conducted a keyword co-occurrence analysis to characterize and review the developing trends in the field of social media addiction. The top 10 most frequent keywords are presented in Table 3 . The results indicate that “social media addiction” is the most frequent keyword (178 occurrences), followed by “problematic social media use” (74 occurrences), “internet addiction” (51 occurrences), and “depression” (46 occurrences). As shown in the co-occurrence network ( Figure 5 ), the keywords can be grouped into two major clusters. “Problematic social media use” can be identified as the core theme of the green cluster. In the red cluster, keywords mainly identify a specific aspect of problematic social media use: social media addiction.

Frequency of occurrence of top 10 keywords.

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Keywords co-occurrence map. Threshold: 5 co-occurrences.

The results of the keyword co-occurrence analysis for journal articles provide valuable perspectives and tools for understanding concepts discussed in past studies of social media usage ( 75 ). More precisely, it can be noted that there has been a large body of research on social media addiction together with other types of technological addictions, such as compulsive web surfing, internet gaming disorder, video game addiction and compulsive online shopping ( 76 – 78 ). This field of research has mainly been directed toward teenagers, middle school students, and college students and university students in order to understand the relationship between social media addiction and mental health issues such as depression, disruptions in self-perceptions, impairment of social and emotional activity, anxiety, neuroticism, and stress ( 79 – 81 ).

The findings presented in this paper show that there has been an exponential increase in scholarly publications—from two publications in 2013 to 195 publications in 2021. There were 45 publications in 2022 at the time this study was conducted. It was interesting to observe that the US, the UK, and Turkey accounted for 47% of the publications in this field even though none of these countries are in the top 15 countries in terms of active social media penetration ( 82 ) although the US has the third highest number of social media users ( 83 ). Even though China and India have the highest number of social media users ( 83 ), first and second respectively, they rank fifth and tenth in terms of publications on social media addiction or problematic use of social media. In fact, the US has almost double the number of publications in this field compared to China and almost five times compared to India. Even though East Asia, Southeast Asia, and South Asia make up the top three regions in terms of worldwide social media users ( 84 ), except for China and India there have been only a limited number of publications on social media addiction or problematic use. An explanation for that could be that there is still a lack of awareness on the negative consequences of the use of social media and the impact it has on the mental well-being of users. More research in these regions should perhaps be conducted in order to understand the problematic use and addiction of social media so preventive measures can be undertaken.

From the bibliometric analysis, it was found that most of the studies examined used quantitative methods in analyzing data and therefore aimed at testing relationships between variables. In addition, many studies were empirical, aimed at testing relationships based on direct or indirect observations of social media use. Very few studies used theories and for the most part if they did they used the technology acceptance model and social comparison theories. The findings presented in this paper show that none of the studies attempted to create or test new theories in this field, perhaps due to the lack of maturity of the literature. Moreover, neither have very many qualitative studies been conducted in this field. More qualitative research in this field should perhaps be conducted as it could explore the motivations and rationales from which certain users' behavior may arise.

The authors found that almost all the publications on social media addiction or problematic use relied on samples of undergraduate students between the ages of 19–25. The average daily time spent by users worldwide on social media applications was highest for users between the ages of 40–44, at 59.85 min per day, followed by those between the ages of 35–39, at 59.28 min per day, and those between the ages of 45–49, at 59.23 per day ( 85 ). Therefore, more studies should be conducted exploring different age groups, as users between the ages of 19–25 do not represent the entire population of social media users. Conducting studies on different age groups may yield interesting and valuable insights to the field of social media addiction. For example, it would be interesting to measure the impacts of social media use among older users aged 50 years or older who spend almost the same amount of time on social media as other groups of users (56.43 min per day) ( 85 ).

A majority of the studies tested social media addiction or problematic use based on only two social media platforms: Facebook and Instagram. Although Facebook and Instagram are ranked first and fourth in terms of most popular social networks by number of monthly users, it would be interesting to study other platforms such as YouTube, which is ranked second, and WhatsApp, which is ranked third ( 86 ). Furthermore, TikTok would also be an interesting platform to study as it has grown in popularity in recent years, evident from it being the most downloaded application in 2021, with 656 million downloads ( 87 ), and is ranked second in Q1 of 2022 ( 88 ). Moreover, most of the studies focused only on one social media platform. Comparing different social media platforms would yield interesting results because each platform is different in terms of features, algorithms, as well as recommendation engines. The purpose as well as the user behavior for using each platform is also different, therefore why users are addicted to these platforms could provide a meaningful insight into social media addiction and problematic social media use.

Lastly, most studies were cross-sectional, and not longitudinal, aiming at describing results over a certain point in time and not over a long period of time. A longitudinal study could better describe the long-term effects of social media use.

This study was conducted to review the extant literature in the field of social media and analyze the global research productivity during the period ranging from 2013 to 2022. The study presents a bibliometric overview of the leading trends with particular regard to “social media addiction” and “problematic social media use.” The authors applied science mapping to lay out a knowledge base on social media addiction and its problematic use. This represents the first large-scale analysis in this area of study.

A keyword search of “social media addiction” OR “problematic social media use” yielded 553 papers, which were downloaded from Scopus. After performing the Scopus-based investigation of the current literature regarding social media addiction and problematic use, the authors ended up with a knowledge base consisting of 501 documents comprising 455 journal articles, 27 conference papers, 15 articles reviews, 3 books, and 1 conference review.

The geographical distribution trends of scholarly publications on social media addiction or problematic use indicate that the most productive countries were the USA (92), the U.K. (79), and Turkey ( 63 ), which together produced 236 articles. Griffiths (sixty-five articles), Lin (twenty articles), and Pakpour (eighteen articles) were the most productive scholars according to the number of Scopus documents examined in the area of social media addiction and its problematic use. An author co-citation analysis (ACA) was conducted which generated a layout of social media effects on well-being and cyber psychology as well as mental health and digital media addiction in the form of two research literature clusters representing the intellectual structure of social media and its problematic use.

The preferred periodicals in the field of social media addiction and its problematic use were Addictive Behaviors , with 700 citations and 22 publications, followed by Computers in Human Behavior , with 577 citations and 13 publications, and Journal of Behavioral Addictions , with 562 citations and 17 publications. Keyword co-occurrence analysis was used to investigate the key thematic areas in the social media literature, as represented by the top three keyword phrases in terms of their frequency of occurrence, namely, “social media addiction,” “problematic social media use,” and “social media addiction.”

This research has a few limitations. The authors used science mapping to improve the comprehension of the literature base in this review. First and foremost, the authors want to emphasize that science mapping should not be utilized in place of established review procedures, but rather as a supplement. As a result, this review can be considered the initial stage, followed by substantive research syntheses that examine findings from recent research. Another constraint stems from how 'social media addiction' is defined. The authors overcame this limitation by inserting the phrase “social media addiction” OR “problematic social media use” in the search string. The exclusive focus on SCOPUS-indexed papers creates a third constraint. The SCOPUS database has a larger number of papers than does Web of Science although it does not contain all the publications in a given field.

Although the total body of literature on social media addiction is larger than what is covered in this review, the use of co-citation analyses helped to mitigate this limitation. This form of bibliometric study looks at all the publications listed in the reference list of the extracted SCOPUS database documents. As a result, a far larger dataset than the one extracted from SCOPUS initially has been analyzed.

The interpretation of co-citation maps should be mentioned as a last constraint. The reason is that the procedure is not always clear, so scholars must have a thorough comprehension of the knowledge base in order to make sense of the result of the analysis ( 63 ). This issue was addressed by the authors' expertise, but it remains somewhat subjective.

Implications

The findings of this study have implications mainly for government entities and parents. The need for regulation of social media addiction is evident when considering the various risks associated with habitual social media use. Social media addiction may lead to negative consequences for adolescents' school performance, social behavior, and interpersonal relationships. In addition, social media addiction may also lead to other risks such as sexting, social media stalking, cyber-bullying, privacy breaches, and improper use of technology. Given the seriousness of these risks, it is important to have regulations in place to protect adolescents from the harms of social media addiction.

Regulation of social media platforms

One way that regulation could help protect adolescents from the harms of social media addiction is by limiting their access to certain websites or platforms. For example, governments could restrict adolescents' access to certain websites or platforms during specific hours of the day. This would help ensure that they are not spending too much time on social media and are instead focusing on their schoolwork or other important activities.

Another way that regulation could help protect adolescents from the harms of social media addiction is by requiring companies to put warning labels on their websites or apps. These labels would warn adolescents about the potential risks associated with excessive use of social media.

Finally, regulation could also require companies to provide information about how much time each day is recommended for using their website or app. This would help adolescents make informed decisions about how much time they want to spend on social media each day. These proposed regulations would help to protect children from the dangers of social media, while also ensuring that social media companies are more transparent and accountable to their users.

Parental involvement in adolescents' social media use

Parents should be involved in their children's social media use to ensure that they are using these platforms safely and responsibly. Parents can monitor their children's online activity, set time limits for social media use, and talk to their children about the risks associated with social media addiction.

Education on responsible social media use

Adolescents need to be educated about responsible social media use so that they can enjoy the benefits of these platforms while avoiding the risks associated with addiction. Education on responsible social media use could include topics such as cyber-bullying, sexting, and privacy breaches.

Research directions for future studies

A content analysis was conducted to answer the fifth research questions “What are the potential research directions for addressing social media addiction in the future?” The study reveals that there is a lack of screening instruments and diagnostic criteria to assess social media addiction. Validated DSM-V-based instruments could shed light on the factors behind social media use disorder. Diagnostic research may be useful in order to understand social media behavioral addiction and gain deeper insights into the factors responsible for psychological stress and psychiatric disorders. In addition to cross-sectional studies, researchers should also conduct longitudinal studies and experiments to assess changes in users' behavior over time ( 20 ).

Another important area to examine is the role of engagement-based ranking and recommendation algorithms in online habit formation. More research is required to ascertain how algorithms determine which content type generates higher user engagement. A clear understanding of the way social media platforms gather content from users and amplify their preferences would lead to the development of a standardized conceptualization of social media usage patterns ( 89 ). This may provide a clearer picture of the factors that lead to problematic social media use and addiction. It has been noted that “misinformation, toxicity, and violent content are inordinately prevalent” in material reshared by users and promoted by social media algorithms ( 90 ).

Additionally, an understanding of engagement-based ranking models and recommendation algorithms is essential in order to implement appropriate public policy measures. To address the specific behavioral concerns created by social media, legislatures must craft appropriate statutes. Thus, future qualitative research to assess engagement based ranking frameworks is extremely necessary in order to provide a broader perspective on social media use and tackle key regulatory gaps. Particular emphasis must be placed on consumer awareness, algorithm bias, privacy issues, ethical platform design, and extraction and monetization of personal data ( 91 ).

From a geographical perspective, the authors have identified some main gaps in the existing knowledge base that uncover the need for further research in certain regions of the world. Accordingly, the authors suggest encouraging more studies on internet and social media addiction in underrepresented regions with high social media penetration rates such as Southeast Asia and South America. In order to draw more contributions from these countries, journals with high impact factors could also make specific calls. This would contribute to educating social media users about platform usage and implement policy changes that support the development of healthy social media practices.

The authors hope that the findings gathered here will serve to fuel interest in this topic and encourage other scholars to investigate social media addiction in other contexts on newer platforms and among wide ranges of sample populations. In light of the rising numbers of people experiencing mental health problems (e.g., depression, anxiety, food disorders, and substance addiction) in recent years, it is likely that the number of papers related to social media addiction and the range of countries covered will rise even further.

Data availability statement

Author contributions.

AP took care of bibliometric analysis and drafting the paper. VB took care of proofreading and adding value to the paper. AS took care of the interpretation of the findings. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Adolescence

More research questions the “social media hypothesis” of mental health, a new study shows that social media does not lead to anxiety or depression..

Posted August 10, 2023 | Reviewed by Gary Drevitch

What Changes During Adolescence?
Find a therapist to support kids and teens
Many believe that social media causes teens to experience depression and anxiety, despite lacking evidence.
A new study found that when teenagers used social media more, their mental health did not change over time.
Mainstream media should devote more coverage to studies like this one.

As I’ve discussed previously , conventional wisdom suggests that using social media promotes poor mental health, especially in teenagers . But there is good reason to question this idea. As more high-quality research becomes available, we can see room for nuance and see that social media is not consistently detrimental to everyone’s well-being.

A critical limitation in many existing studies on this topic is that they are cross-sectional. This means all variables are assessed only once, and at the same time. This isn’t necessarily a bad thing; it just means we don’t know how behavioral changes over time might be associated with changes in emotional variables. Longitudinal research helps us to better understand how change happens by measuring these variables repeatedly over a period of months or even years.

Longitudinal research is especially valuable in this case because some young people may use social media to alleviate distress , so we might observe that increases in depression or anxiety will predict increases in social media use , rather than the reverse. On the other hand, if the social media hypothesis is correct, then as teenagers spend more and more time online, this should be followed by decreased mental health (i.e., greater anxiety/depression). But that’s not what the data reveal.

What Researchers Found

A research team in Norway recently published a study in which they tracked young people aged 10-16, and assessed them every 2 years. Each time, the researchers interviewed participants about their behaviors online (e.g., posting photos, “liking,” or commenting on others' posts), and they conducted clinical assessments of depression and anxiety with standardized psychiatric measures. The researchers found no evidence that increased social media use was followed by elevated anxiety or depression. This means that as these teenagers used more social media, their mental health did not change. These findings directly contradict the idea that social media use leads to poor psychological well-being.

The authors are careful to note that even though social media did not make teenagers feel worse, on average, it also did not make them feel better. So, social media use may not have an overall negative or positive effect for the average teenager. This idea is consistent with what I have argued previously , which is that social media use may have differential effects depending on the user’s initial motivations. When people are motivated to use social media because they find it interesting or rewarding, then it’s likelier to make them happy, whereas when they feel compelled or obligated to use it, then it’s likelier to make them feel worse. Motivations matter more than the technology itself.

The researchers also suggest that perhaps subgroups of teenagers may experience different outcomes following social media use, such as those who are bullied or have low self-esteem . The specific content that people view on social media may also play a role. It is also true that digital technologies change rapidly and we cannot assume that all future forms of social media will operate the same way psychologically. New applications have the potential to be better or worse than what people currently use.

Time Trend Data Are Inconclusive

Those who hold with the “social media hypothesis” of mental health will often point to time trend data as evidence. They argue that because social media use has risen in teenagers over the past 15 years, and that teen depression and anxiety has also risen over the same period of time, then those two trends are likely connected.

But if that were true, we ought to be able to observe this trend happening during teenagers’ lives. The fact is, we do not observe this pattern, and these null findings should make us skeptical about such claims. When researchers track teenagers’ mental health over a span of years, there is no link between their social media use and their experiences of depression or anxiety. In the words of the authors , “ the frequency with which adolescents engage in behaviors like posting, liking, and commenting on others’ posts does not influence their risk for symptoms of depression and anxiety .”

It would be great to see more mainstream media coverage of studies like this, especially considering the widespread belief that if young people are permitted to use social media, their mental health will deteriorate. Perhaps parents of teenagers can take some comfort in the fact that for the average user, there is little risk of this.

Cauberghe, V., Van Wesenbeeck, I., De Jans, S., Hudders, L., & Ponnet, K. (2021). How Adolescents Use Social Media to Cope with Feelings of Loneliness and Anxiety During COVID-19 Lockdown. Cyberpsychology, behavior and social networking , 24 (4), 250–257. https://doi.org/10.1089/cyber.2020.0478

Puukko, K., Hietajärvi, L., Maksniemi, E., Alho, K., & Salmela-Aro, K. (2020). Social Media Use and Depressive Symptoms—A Longitudinal Study from Early to Late Adolescence. International Journal of Environmental Research and Public Health , 17 (16), 5921. MDPI AG. Retrieved from http://dx.doi.org/10.3390/ijerph17165921

Steinsbekk, S., Nesi, J., & Wichstrøm, L. (2023). Social media behaviors and symptoms of anxiety and depression. A four-wave cohort study from age 10–16 years. Computers in Human Behavior , 147 , 107859.

Dylan Selterman, Ph.D., is an Associate Teaching Professor at Johns Hopkins University in the Department of Psychological and Brain Sciences. He teaches courses and conducts research on personality traits, happiness, relationships, morality/ethics, game theory, political psychology, and more.

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Conducting Social Media Research: How to Find Real Consumer Insights

Social is a rich source of data but only if you know how to conduct good social media research. This post explains the methods for finding consumer insights

Social media research can surface consumer insights that can be difficult and expensive to find in any other way. The volume of conversation on the web gives this research method a unique ability – uncovering qualitative insights on a quantitative scale.

For many people, however, it can be daunting. There is so much data: millions upon millions of conversations happen online every day. If you don’t know how to refine what you are listening to, you’ll drown in the data.

It’s also easy to rely on the metrics that are constantly produced on social: likes, followers, fans and so on. Knowing how to cut through the noise to find the information that can drive business decisions is a real skill. I recently spoke to Bex Carson, Head of Brandwatch’s Research Services team, to get an insight into best practice when it comes to social media research.

social media research puts the whole world in your hands

Developing an approach to social media research

Uncovering insights requires a certain approach. You need to move beyond the simple social metrics to uncover robust insights that can recommend a real business action. The problem can be knowing who to listen to, how to spot a trend, knowing what’s significant and putting your findings into context.

Many people will start with the metrics they know about. They then think about the questions it is possible to answer with those metrics, and develop a research plan based on that. A good social intelligence tool has the flexibility that renders this way of thinking very restrictive – it starts with what was already known and therefore limits the possibilities of what can be discovered.

Ask interesting questions

The foundation for good social media research is asking the right questions. If you start with a bad question, you’ll receive a bad answer.

Start by forgetting any concerns about how you are going to conduct the research. Focus on the problems and questions you need to answer, without thinking about the methodology. Once you have the question, you can work on the methodology.

With Brandwatch there’s a way to answer pretty much any question. The joy of social media is its flexibility and Brandwatch Analytics has been built to be flexible to match that.

Bex Carson, Head of Research Services, Brandwatch

The questions need to be specific. They need to be able to deliver an answer that can be acted upon. Examples of this sort of question might be “What do women in their 50s want from a fashion brand?” or “Is our content resonating with our target customers?”

Spend time developing questions, and brainstorm with others where possible. Consider the following:

What do we want to be able to do that is different based on this research?
What capacity/power/authority for change does the reader of the report have?
How do I recognize success? What does good look like?
What do I already know about this subject/audience?
Is my question answerable within the timeframe available?

Do better analysis

There are two main approaches you can take to answering your questions. The first involves uncovering metrics that answer a defined question. The second is more of an exploratory approach, discovering insights as you work through the data. Where time and budget allows, a combination of the two approaches will generally reveal the most interesting and robust answers.

The best social media research that produces the best results will combine some elements of both. That way you know you are investing time to get definite answers to specific questions, but you’re leaving yourself open to discover something new about your audience.

BEX CARSON, BRANDWATCH

Structured and planned analysis.

For this type of research, you are looking for an answer to a specific question. You need to identify specific metrics that you can bring together to answer that question. By using the power of segmentation – Brandwatch’s Rules , Categories, and Tags – you can arrive at specific answers.

You can take a structured approach to social media research

This method is great for answering defined, objective questions. For example, if you have run a campaign and want to know if it drove spontaneous awareness, you can look at the volume of discussion for both the campaign assets and the brand baseline over time. These relatively simple queries will result in metrics that uncover the success of your campaign.

Follow the breadcrumbs analysis

This approach is exploratory, listening to the data to discover the story within it. Think of it as social media ethnography. You can arrive at a fuller understanding of your consumers, uncovering different audience groups as you move through the data and spot trends.

This methodology can be a challenge. You need to enter the project without preconceptions and ensure you don’t draw your own conclusions. It’s a harder way to conduct social media research – using open listening to find underlying themes.

The benefits are plentiful, though. First, you are closer to the voice of the customer . There is no substitute for listening to your customers verbatim, understanding the nuance and sentiment of their conversations.

As a human analyst, you can understand and categorize things that a machine simply can’t. Someone might be talking about the same topic even if they don’t use the same words. Reading through the conversations, you can find people might talk in a way that you hadn’t thought of, and use that to enrich your research.

1. Decide on your dataset

Broad topics and themes often drive more interesting results than brand queries. You want to analyze of a type of conversation rather than a particular brand. Within the conversation theme, you still need to define the problem clearly so you can create a targeted query and reduce noise in the data.

As an example, let’s say you wanted to know what people who have seen the movie thought about the new Ghostbusters film . If you just wrote a query on Ghostbusters, there would be a lot of conversation around the all-female cast, or the abuse that Leslie Jones received on Twitter.

By writing a query that includes personal pronouns, mentions of cinema brands, people saying “just seen/watched” and so on, you will have a much cleaner data set without manipulating it too much.

2. Clean your data

This can be a really important way of revealing the interesting, more concealed consumer insights. Many topics can be dominated by a few obvious and popular themes, so that the insights get lost in comparison.

You want to surface underlying themes with a unique value, rather things you can see easily on a topic cloud/trend line. To do this, you can look at you initial query results to identify the popular themes, and then exclude those mentions by using tags.

The data that remains lets you see what else people are saying beyond what you already know. It can also be useful to remove retweets, leaving you with only the original conversations.

3. Take a random sample

While automation can be a useful tool, the type of analysis we are talking about here is human led. This means you need a manageable dataset. It needs to be large enough to be representative of the mentions, but small enough so it can be read completely, and in detail. Mark off the mentions as you work through them to ensure you cover your whole sample.

This allows you to undertake the next step…

4. Read and code using grouped categories

There is no right way to do this step, and it will largely depend on your dataset. This is where you go on a journey of discovery, hunting down the insights in the data. You want to start grouping themes and topics.

You can start by creating categories that you think you are going to find. To go back to the Ghostbusters example, you would expect some people to say they “loved it”, others that “hated it”, and everything in between.

It’s important to remember that this is just a starting point. You need to be completely data-led. New themes will emerge as you work through the data, so you need to add these.

Human analysis allows you to have nuanced emotional categories, such as anger, frustration, humor, joy and so on. A human analyst is able to pick these up where automated processes would not be able to.

You can also set up categories for author type, to understand the different conversations among different actors.

Brandwatch allows you to group categories together, so each emotional or author response can form a sub-group within a parent group. This can prove useful during your analysis.

Crucially, you want to liberally add categories as you read through the data. At the end, you might find there were only a couple of mentions of one category and decide to delete it. It’s better to do this than be conservative and realize you missed an important topic of discussion only once you reach the end of the dataset.

5. Analyze and chart

Now you need to dive into the charts and start analyzing.

The best way to start is to simply create a standard chart component and apply filters to the data. You can start looking at your different categories, moving the data around to spot interesting patterns.

Some of the most useful insights come from crossing your parent categories. So if you have author type on one axis, and emotion on the other, you can start to see different emotional responses from different author types.

Golden rules for social media research

1. compare everything and constantly seek out difference.

The fundamental tenet of social media research is noticing a difference between things. You don’t know what good looks like without seeing the bad, but you are looking for a significant difference. You don’t want to recommend sweeping changes because of a tiny difference in the data. Be curious and keep exploring.

If you want to be interesting, be interested.

2. Be curious and ask why

If you notice a difference, start digging into it. Then dig some more. Keep digging until you have read something that helps explain why that difference exists.

You can’t create a suggested action based on a piece of data if you don’t understand why that piece of data is the way that it is.

Presenting your social media research

First, remember that you are telling a story. With any story, you need to consider your audience.

There may be several people or departments that are going to read your report. They won’t all have the same amount of time available to read what you have written, and they might not all be interested in the same things.

While it’s a good idea to start with a methodology to give the report transparency, hit them with the key findings and consumer insights straight away.

Then, as you continue through the story of the data, you can explain each insight more thoroughly with charts, graphs, and analysis to back it up.

You might like

How to write a social media report.

We reveal how to write a social media report, whether you want to present in-depth research, a campaign-specific report, or a regular round-up of metrics.

Having insights buried in a 27 page PDF is frustrating and risks your hard work being overlooked.

Finally, remember that you’re not really telling your story; you’re telling the story of the people you’re listening to, so make sure to include the voice of the customer. Real examples of social posts, with real customer profile pictures, will bring your social media research to life.

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Learning the A-Z of Social Media Research: How to Smartly Get Actionable Customer Data

Johnny Tong

Jan 28, 2021

Learning the A-Z of Social Media Research: How to Smartly Get Actionable Customer Data

Table of Contents

Learning A-Z of Social Media Research

Social media research vs other market research: why social media research, what is the prominence of social media research in the current business scenario, use cases: how all social media research can help you, methodology: tips on how to do social media research effectively, best practices for using social media to conduct research on various social media platforms, what are the popular social media research topics, what are the most common social media research questions asked, get social media insights in the most cost-effective way.

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Improving Customer service
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Target audience according to demographics
Analyze competitors
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Define target
Structured and planned analysis
Ask Interesting questions while surveying
Choose the right tool and the right agencies
Managing social media pressure among celebrities
Personal branding
Corporate image
Influence of social media on crime
Influencer marketing
Strategies for creating a strong online presence
How to use search engines to rank high
Mental illnesses and social set up
Online communities and their power
The impact of technology on journalism
Journalism ethics: good news versus bad news.
Advertising as communication.
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25 answers to the most common social media questions

Written by by Jacqueline Zote

Published on March 26, 2021

Reading time 7 minutes

With the social media landscape evolving constantly, there’s always something new to learn for both novice and experienced marketers alike. Naturally, you might have a lot of pressing social media marketing questions that you’re embarrassed to ask because they seem like common knowledge. But no question is too simple because it can be challenging to catch up.

In this post, we answer some of the most common and important questions about social media. Besides general social media FAQs, we’ll also tackle platform-specific questions with a focus on Instagram FAQs. Let’s get started.

Want to unlock social media success in 2022? Check out these five resources designed to inspire stronger content, campaigns and customer care.

General social media questions

1. how many people are on social media.

As of April 2020, a total of 3.81 billion people around the world use social media, putting the worldwide social media penetration rate at 49%.

2. What is the most popular social media platform?

Based on user count alone, Facebook continues to be the most popular social media platform. It had garnered 2.6 billion monthly active users by Q1 of 2020. The Sprout Social Index XV: Empower & Elevate also found that it’s the most popular platform for both marketers and consumers. Eighty-nine percent of marketers surveyed used the platform while 83% of consumers surveyed used it.

3. How long does the average person spend on social media per day?

In 2019, the average social media user spent around 1 hour and 15 minutes per day on social media. eMarketer predicts that this average will increase by 8.8% in 2020 due to social distancing and people spending more time indoors during the pandemic. So we can expect that social media users will spend around 1 hour and 22 minutes on average using social media every day.

chart showing average time spent on social media per day

4. What is the fastest growing social media platform?

While Instagram once held this coveted position, the platform’s growth has tapered off for a while. In fact, its US user growth rate dropped to 6.7% in 2019. Meanwhile, TikTok saw a 97.5% increase in its US user base. Granted, these numbers will decline as the hype dies down, projections still show that the platform will continue to see a double-digit growth rate in the coming years.

line chart of projected tiktok user growth, 2019-2024

5. What’s the best time to post on social media?

The best time to post on social media depends on several factors. While your choice of platform and your industry both matter, your audience activity plays the biggest role. So ideally, you should look at your post performance to get valuable data about the perfect post timing for your business.

You can also use our guide on the best time to post as a starting point before you find what works best for your business and industry.

6. How often should I post on social media?

Again, this largely depends on your audience. While you definitely should publish at least one post every day, you should see if posting more often will make any difference in your performance. Once you find a posting frequency that works for you, create a publishing calendar , and follow it consistently.

7. Which social media platform should I use to promote my business?

While the natural assumption is that you should be on all the popular platforms, this can be counterproductive if not executed with a strategy. Instead, focus on a couple of platforms that are highly popular among your target audience. So the best platforms to use will vary for each business. Check out our guide on how to choose the best social media channels for your business.

8. How do I get started with social media marketing?

There are a few things you need to begin marketing on social media – a goal, a target audience and a strategy. Find out what you want to achieve through social media marketing and what types of people you want to attract. Then create a social media strategy to streamline and organize your approach.

9. What kind of content should I post?

This also depends on your industry and what appeals to your target audience, although visuals typically take the cake on social media. Try out some of our social media post ideas and see which ones perform the best to find out what type of content your audience likes.

10. How can I get more followers on social media?

Growing your social media following involves a lot of planning and strategizing as well as posting the right content and targeting the right audience. Use our comprehensive guide on how to grow your social media audience to get started.

Instagram FAQs

11. what is the average age of instagram users.

On average, most Instagram users are between the ages of 18 and 34. Learn more Instagram demographic stats .

graph showing distribution of age among Instagram users

12. How many followers does the average Instagram user have?

Since the purpose of personal Instagram accounts is to connect with family and friends, the average Instagram personal account has about 150 followers .

13. What percentage of Instagram followers sees your post?

While Instagram hasn’t made anything official, many users have noticed that their posts reach only about 7% of their followers. This is mainly because the platform prioritizes posts from accounts you regularly interact with.

14. How many Instagram posts are there?

Since its inception, Instagram has seen over 50 billion photos uploaded on the platform. And there is an average of 100 million photos and videos uploaded every day.

15. Does Instagram sell your information?

While Instagram doesn’t sell your information, it shares analytics data about users’ activity and preferences with third-party partners such as advertisers and analytics services. In Instagram’s data policy , Instagram promises to never sell your information.

16. What information does Instagram collect?

Besides your device information, Instagram collects the content, communication and information you provide. This can include metadata about your content such as the location, for instance. It also collects information about how you use the platform as well as the people, accounts and hashtags you interact with. Read the full Instagram data policy to learn more on what information is collected.

17. Can you export Instagram followers?

Yes. While not in the Instagram app itself, there are several tools out there such as IGExport and Phantombuster that will let you export your Instagram followers into a .csv file.

18. Is there a way to download Instagram posts?

Instagram gives you an option to download a copy of all the posts you’ve shared on the platform. Find out how to do this through the Instagram Help Center . As for posts shared by other people, Instagram won’t let you download them directly but you can use third-party apps like DownloadGram and Ingramer for this. Keep in mind that recent changes in Instagram’s terms of use affects any image downloading, reposting and embedding that you may want to do.

19. How do you save someone else’s picture on Instagram?

Instagram lets you save someone else’s post so you can easily find it again later. For this, just click on the “Save” button at the bottom of the post and Instagram will add it to your collection. Note that this isn’t the same as downloading the photo or video. As mentioned in the previous answer, you’ll need to use third-party apps to actually download the photo or video to your device.

A Denny's Instagram post with an arrow pointing at the save button

20. How can I see who saved my pictures on Instagram?

While Instagram doesn’t give you the option to see who’s saved your posts, Instagram Business Profiles can find out how many times a post has been saved. You can find this information under the Post Insights, but this only shows you the number of saves and not the details of people who’ve saved it to their collection.

21. How do you get pictures off of Instagram?

To remove pictures or videos you’ve posted on Instagram, tap on the options button above your post and then choose “Delete.” You’ll need to tap “Delete” again to confirm that you want to remove the post from Instagram.

22. How do you get your “Top Live” on Instagram?

Just as Instagram recommends posts based on your activity and the accounts you interact with the most, it used to give suggestions for live videos you might want to watch. You could access this “Top Live” section at the top of your “Explore” page before, but Instagram has since removed it.

23. How can I share live video replays?

Instagram gives you the option to share a replay of your live video to IGTV once the broadcast ends. Just choose “Share to IGTV” when you see the option at the bottom of your screen. You’ll also get the option to “Download Video” in case you want to save it to your camera roll or “Delete Video” if you don’t want to keep it.

24. How can I see who is live on Instagram?

When someone you follow goes live on Instagram, you’ll see their profile picture at the top of your Feed and it will have a colorful ring around it along with the word “Live.” Just tap on the profile picture to start watching their live video.

25. How can I see active users on Instagram?

Instagram lets you see the active status of only people you follow or have exchanged direct messages with. If they’re currently active, you’ll see a green dot next to their profile picture and username. Note that you won’t be able to see if users have turned off their activity status..

Bonus Question

Did we answer most of your social media questions?

Let us know if you have any other pressing questions about social media or Instagram FAQs that you’d like us to answer. We understand that things change quickly and you need answers just as fast. Be sure to check out our social media stats to understand the landscape better across all social platforms.

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Teens and social media: Key findings from Pew Research Center surveys

Laughing twin sisters looking at smartphone in park on summer evening

For the latest survey data on social media and tech use among teens, see “ Teens, Social Media, and Technology 2023 .”

Today’s teens are navigating a digital landscape unlike the one experienced by their predecessors, particularly when it comes to the pervasive presence of social media. In 2022, Pew Research Center fielded an in-depth survey asking American teens – and their parents – about their experiences with and views toward social media . Here are key findings from the survey:

Pew Research Center conducted this study to better understand American teens’ experiences with social media and their parents’ perception of these experiences. For this analysis, we surveyed 1,316 U.S. teens ages 13 to 17, along with one parent from each teen’s household. The survey was conducted online by Ipsos from April 14 to May 4, 2022.

This research was reviewed and approved by an external institutional review board (IRB), Advarra, which is an independent committee of experts that specializes in helping to protect the rights of research participants.

Ipsos invited panelists who were a parent of at least one teen ages 13 to 17 from its KnowledgePanel , a probability-based web panel recruited primarily through national, random sampling of residential addresses, to take this survey. For some of these questions, parents were asked to think about one teen in their household. (If they had multiple teenage children ages 13 to 17 in the household, one was randomly chosen.) This teen was then asked to answer questions as well. The parent portion of the survey is weighted to be representative of U.S. parents of teens ages 13 to 17 by age, gender, race, ethnicity, household income and other categories. The teen portion of the survey is weighted to be representative of U.S. teens ages 13 to 17 who live with parents by age, gender, race, ethnicity, household income and other categories.

Here are the questions used for this report, along with responses, and its methodology .

Majorities of teens report ever using YouTube, TikTok, Instagram and Snapchat. YouTube is the platform most commonly used by teens, with 95% of those ages 13 to 17 saying they have ever used it, according to a Center survey conducted April 14-May 4, 2022, that asked about 10 online platforms. Two-thirds of teens report using TikTok, followed by roughly six-in-ten who say they use Instagram (62%) and Snapchat (59%). Much smaller shares of teens say they have ever used Twitter (23%), Twitch (20%), WhatsApp (17%), Reddit (14%) and Tumblr (5%).

A chart showing that since 2014-15 TikTok has started to rise, Facebook usage has dropped, Instagram and Snapchat have grown.

Facebook use among teens dropped from 71% in 2014-15 to 32% in 2022. Twitter and Tumblr also experienced declines in teen users during that span, but Instagram and Snapchat saw notable increases.

TikTok use is more common among Black teens and among teen girls. For example, roughly eight-in-ten Black teens (81%) say they use TikTok, compared with 71% of Hispanic teens and 62% of White teens. And Hispanic teens (29%) are more likely than Black (19%) or White teens (10%) to report using WhatsApp. (There were not enough Asian teens in the sample to analyze separately.)

Teens’ use of certain social media platforms also varies by gender. Teen girls are more likely than teen boys to report using TikTok (73% vs. 60%), Instagram (69% vs. 55%) and Snapchat (64% vs. 54%). Boys are more likely than girls to report using YouTube (97% vs. 92%), Twitch (26% vs. 13%) and Reddit (20% vs. 8%).

A chart showing that teen girls are more likely than boys to use TikTok, Instagram and Snapchat. Teen boys are more likely to use Twitch, Reddit and YouTube. Black teens are especially drawn to TikTok compared with other groups.

Majorities of teens use YouTube and TikTok every day, and some report using these sites almost constantly. About three-quarters of teens (77%) say they use YouTube daily, while a smaller majority of teens (58%) say the same about TikTok. About half of teens use Instagram (50%) or Snapchat (51%) at least once a day, while 19% report daily use of Facebook.

A chart that shows roughly one-in-five teens are almost constantly on YouTube, and 2% say the same for Facebook.

Some teens report using these platforms almost constantly. For example, 19% say they use YouTube almost constantly, while 16% and 15% say the same about TikTok and Snapchat, respectively.

More than half of teens say it would be difficult for them to give up social media. About a third of teens (36%) say they spend too much time on social media, while 55% say they spend about the right amount of time there and just 8% say they spend too little time. Girls are more likely than boys to say they spend too much time on social media (41% vs. 31%).

A chart that shows 54% of teens say it would be hard to give up social media.

Teens are relatively divided over whether it would be hard or easy for them to give up social media. Some 54% say it would be very or somewhat hard, while 46% say it would be very or somewhat easy.

Girls are more likely than boys to say it would be difficult for them to give up social media (58% vs. 49%). Older teens are also more likely than younger teens to say this: 58% of those ages 15 to 17 say it would be very or somewhat hard to give up social media, compared with 48% of those ages 13 to 14.

Teens are more likely to say social media has had a negative effect on others than on themselves. Some 32% say social media has had a mostly negative effect on people their age, while 9% say this about social media’s effect on themselves.

A chart showing that more teens say social media has had a negative effect on people their age than on them, personally.

Conversely, teens are more likely to say these platforms have had a mostly positive impact on their own life than on those of their peers. About a third of teens (32%) say social media has had a mostly positive effect on them personally, while roughly a quarter (24%) say it has been positive for other people their age.

Still, the largest shares of teens say social media has had neither a positive nor negative effect on themselves (59%) or on other teens (45%). These patterns are consistent across demographic groups.

Teens are more likely to report positive than negative experiences in their social media use. Majorities of teens report experiencing each of the four positive experiences asked about: feeling more connected to what is going on in their friends’ lives (80%), like they have a place where they can show their creative side (71%), like they have people who can support them through tough times (67%), and that they are more accepted (58%).

A chart that shows teen girls are more likely than teen boys to say social media makes them feel more supported but also overwhelmed by drama and excluded by their friends.

When it comes to negative experiences, 38% of teens say that what they see on social media makes them feel overwhelmed because of all the drama. Roughly three-in-ten say it makes them feel like their friends are leaving them out of things (31%) or feel pressure to post content that will get lots of comments or likes (29%). And 23% say that what they see on social media makes them feel worse about their own life.

There are several gender differences in the experiences teens report having while on social media. Teen girls are more likely than teen boys to say that what they see on social media makes them feel a lot like they have a place to express their creativity or like they have people who can support them. However, girls also report encountering some of the pressures at higher rates than boys. Some 45% of girls say they feel overwhelmed because of all the drama on social media, compared with 32% of boys. Girls are also more likely than boys to say social media has made them feel like their friends are leaving them out of things (37% vs. 24%) or feel worse about their own life (28% vs. 18%).

When it comes to abuse on social media platforms, many teens think criminal charges or permanent bans would help a lot. Half of teens think criminal charges or permanent bans for users who bully or harass others on social media would help a lot to reduce harassment and bullying on these platforms.

A chart showing that half of teens think banning users who bully or criminal charges against them would help a lot in reducing the cyberbullying teens may face on social media.

About four-in-ten teens say it would help a lot if social media companies proactively deleted abusive posts or required social media users to use their real names and pictures. Three-in-ten teens say it would help a lot if school districts monitored students’ social media activity for bullying or harassment.

Some teens – especially older girls – avoid posting certain things on social media because of fear of embarrassment or other reasons. Roughly four-in-ten teens say they often or sometimes decide not to post something on social media because they worry people might use it to embarrass them (40%) or because it does not align with how they like to represent themselves on these platforms (38%). A third of teens say they avoid posting certain things out of concern for offending others by what they say, while 27% say they avoid posting things because it could hurt their chances when applying for schools or jobs.

A chart that shows older teen girls are more likely than younger girls or boys to say they don't post things on social media because they're worried it could be used to embarrass them.

These concerns are more prevalent among older teen girls. For example, roughly half of girls ages 15 to 17 say they often or sometimes decide not to post something on social media because they worry people might use it to embarrass them (50%) or because it doesn’t fit with how they’d like to represent themselves on these sites (51%), compared with smaller shares among younger girls and among boys overall.

Many teens do not feel like they are in the driver’s seat when it comes to controlling what information social media companies collect about them. Six-in-ten teens say they think they have little (40%) or no control (20%) over the personal information that social media companies collect about them. Another 26% aren’t sure how much control they have. Just 14% of teens think they have a lot of control.

Two charts that show a majority of teens feel as if they have little to no control over their data being collected by social media companies, but only one-in-five are extremely or very concerned about the amount of information these sites have about them.

Despite many feeling a lack of control, teens are largely unconcerned about companies collecting their information. Only 8% are extremely concerned about the amount of personal information that social media companies might have and 13% are very concerned. Still, 44% of teens say they have little or no concern about how much these companies might know about them.

Only around one-in-five teens think their parents are highly worried about their use of social media. Some 22% of teens think their parents are extremely or very worried about them using social media. But a larger share of teens (41%) think their parents are either not at all (16%) or a little worried (25%) about them using social media. About a quarter of teens (27%) fall more in the middle, saying they think their parents are somewhat worried.

A chart showing that only a minority of teens say their parents are extremely or very worried about their social media use.

Many teens also believe there is a disconnect between parental perceptions of social media and teens’ lived realities. Some 39% of teens say their experiences on social media are better than parents think, and 27% say their experiences are worse. A third of teens say parents’ views are about right.

Nearly half of parents with teens (46%) are highly worried that their child could be exposed to explicit content on social media. Parents of teens are more likely to be extremely or very concerned about this than about social media causing mental health issues like anxiety, depression or lower self-esteem. Some parents also fret about time management problems for their teen stemming from social media use, such as wasting time on these sites (42%) and being distracted from completing homework (38%).

A chart that shows parents are more likely to be concerned about their teens seeing explicit content on social media than these sites leading to anxiety, depression or lower self-esteem.

Note: Here are the questions used for this report, along with responses, and its methodology .

CORRECTION (May 17, 2023): In a previous version of this post, the percentages of teens using Instagram and Snapchat daily were transposed in the text. The original chart was correct. This change does not substantively affect the analysis.

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13 Most Common Social Media Questions (+ Answers)

September 22, 2023 • 7 min read

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You’re absolutely right! You check your social media notifications!

Social media has become an integral part of our daily life, enabling us to connect with friends, family and even strangers worldwide. It’s also an ever-changing landscape with new concepts evolving every day. So, it’s natural for people to feel overwhelmed by all the information and developments that it brings. But just so you feel more comfortable navigating all the digital craziness, we’re here to lighten the load by answering some of the most commonly asked social media questions of all time.

So, with that, let‘s begin with the basics.

How do I leverage social media for professional networking?

Social media platforms are a great way to connect with peers and build valuable relationships. You can grow your professional network if you:

Create a professional profile , especially on platforms like LinkedIn, and accurately show your skills, experience and professional aspirations

Join industry-specific groups focused on specific industries or areas of interest

Share relevant content regularly , like articles, research papers or thought-provoking insights related to your field of expertise

Attend online networking events hosted on platforms like LinkedIn or professional forums

Technologies and trends come and go but where does the future lie in social media? Let's talk about it.

Media Studies

Developing a Research Question

Understanding Your Assignment

Selecting and narrowing a topic, exercises for generating topics, constructing your research question.

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Before you select a topic or develop a research question, it is important to understand your assignment. Understanding your assignment from the outset will help you craft a re search question that you can adequately answer in the space and time allotted to you. In this section, we will look at some questions to ask when first decoding a prompt:

What is the purpose of the assignment? Think about the goal of your assignment: Are you trying to persuade a reader? Explain an idea? Apply theories to a text? Tell a story? The purpose of your assignment will guide your research and writing.
What kind of writing am I doing? Look for words in the assignment that tell you about the type of writing you are being asked to produce. For example, there is a difference between being asked to summarize and being asked to analyze. Other verbs to look out for include, discuss, define, explain, evaluate, etc.
Who is my audience? How will this affect the tone and content of my paper? What are the conventions of the discipline within which I am working?
What is the scope of the assignment? Determine what the purpose of the paper will be and how much ground you will need to cover. How many topics will you be looking at? How long should the paper be?
What is the topic of the assignment? Has the professor given you a specific topic? Will you need to find your own?
What are the requirements of the assignment? Familiarize yourself with the criteria of the prompt. It is easy to forget about details like number/types of sources, word counts, and formatting guidelines. Look at these early on so that you can better plan for the content and scope of your project.
Ask for clarification. Reach out to your professor, other instructors, Writing Tutorial Services (WTS) , or the Learning Commons Research Desk , for assistance with understanding and getting started on an assignment.

Video: Understanding Assignments . UNC Writing Center (2018)

Adapted from: Swarthmore Writing Associates Program, Understanding Your Assignment (2023); Grinnell College, Choosing A Research Topic ; The University of Arizona Global Campus Writing Center, Understanding Your Assignment .

In some cases, an instructor may assign you a topic or a list of topics. In other cases, you might be asked to generate a topic on your own. An assignment may also fall somewhere between these two cases, asking you to pick a narrower topic from a broader one. In this section we will talk about strategies for selecting a topic that both interests you and helps you develop a research question.

Think about the scope and content requirements of your assignment.
Consider topics or units which have come up in class.
Was there a reading you really enjoyed? A lecture that stuck with you? If you’re excited about your topic, others will be too! Plus, your research will be much more fun.
Do you feel a personal or academic connection to any specific topic?
Generate a list of subtopics that relate to the broader topic.
Look at your class notes and syllabus for themes.
Find an interesting text on IUCAT , Indiana University's Library Catalog.
Scroll down on the catalog page to find the subject headings for this text, which may contain more specific topics of interest to you. Below is an example of subject headings for Shadowlines: Women and Borders in Contemporary Asia :

Subject Headings: Women-Asian-Social Conditions-21st century; Women-Political activity-Asia; Sex role and globalization-Asia; Postcolonialism.

Video: Picking a Topic is Research . University of Houston Libraries (2020).

Adapted from: Purdue Online Writing Lab, Choosing a Topic .

In this section we will discuss some exercises designed to help you generate topics for your paper:

Brainstorm with classmates, friends, and professors. This can help you develop ideas and explore topics you might not have considered on your own.
Explore non-peer reviewed sources such as newspapers , blogs, and magazines. Looking at current events can help you identify topics that interest you and explore subtopics within those areas.
Free-write about the broader topic: Set a time limit and write about your topic. Even if you feel as though you have nothing else to say, keep writing! When you’re done, read over the text and look for patterns in your thoughts, ideas that stick out, and anything of interest that you want to explore some more.
Concept map : A concept map is a visual way to organize your thoughts and make connections between ideas. They can take the form of charts, graphic organizers, tables, flowcharts, Venn Diagrams, timelines, or T-charts. Concept mapping is similar to visual mapping, visual webbing, and mind mapping. You can draw a concept map on a piece of paper, reserve a space at the library to use a whiteboard, or use these websites to create concepts maps online: Miro , TheBrain , Lucidchart , Coggle . Below are concept maps for "Concept Mapping" and a "Personal Philosophy of Online Learning":

Chart : Concept Mapping Concept Map . Teton Science Schools (TSS). This concept map depicts ideas related to the concept mapping technique.

Concept map of a personal philosophy for online learning.

Chart: Personal philosophy concept map and rationale . Myles’ Blog (2016).

In the video below, English Literature PhD student Lucy Hargrave explains how graduate students in the humanities can use concept maps to help them organize their thoughts and notes:

Video: How I Use MindMaps as a PhD Student: Organising my Research Notes . Lucy Hargrave (2021).

Now that you have narrowed down your topic, let's turn that topic into a research question. In this section we will talk about how to develop a question that sets you up for success. Keep in mind that your question may change as you gather more information and start writing—this is okay! Having a sense of your direction from the outset can help you evaluate sources and identify relevant information during the research process.

Explore your topic

Return to some of the articles/sources that you discussed in class or that you found when researching your topic—what questions do these sources raise? What are other researchers in this area writing about?
Ask open-ended “how” and “why” questions about your topic.
Consider the “so what?” of your topic. Why does this topic matter to you? Why should it matter to others?
What would you like to know more about? What do you think your audience would like to learn about?
Think about the value of focusing on a specific period of time, geographic location, organization, or group of people. Narrowing the scope of your paper can make it easier to find sources and develop a strong, concise argument.
What do you want to say in your assignment? What are the key points and arguments that you want to get across? Which subtopic, timeframe, or other limitation would allow you to make these points in the most effective way?
Try filling out a worksheet to organize your thoughts.

Pick One Research Question

Evaluate the questions you’ve asked and pick one that speaks to you. If there are a few questions that interest you, focus and tailor their components into a singular research question which you can address in the space and time allotted for your paper. Consider the wording of the question and the scope of the assignment. A good research question is clear, focused, and has an appropriate level of complexity. Developing a strong question is a process, so you will likely refine your question as you continue to research and to develop your ideas. Use the following guidelines to evaluate whether or your question will be appropriate for your assignment:

Clarity. Is your question clear? Do you have a specific aspect of your general topic that you are going to explore further?

Unclear: Why are social networking sites harmful sometimes? Clear: How are online users experiencing privacy issues on the social networking sites Facebook and TikTok?

Focus. Is your question focused? Will you be able to cover the topic adequately in the space available?

Unfocused: How are Asian Americans represented in the media? Focused: How do television advertisements in the United States perpetuate the model minority stereotype?

Complexity. Is your question sufficiently complex? Can your question be answered with a simple yes/no response or does it requires research and analysis?

Too simple: Did COVID-19 affect parents? Appropriately Complex: How did the COVID-19 pandemic impact the mental health and work-life balance of teleworking parents with young children?

Video: Developing a Research Question . Laurier Library (2017).

Adapted from: George Mason University Writing Center, How to Write a Research Question (2008); Monash University Library, Developing research questions .

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