U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

  • Advanced Search
  • Journal List
  • Front Psychol

The effect of social media on the development of students’ affective variables

1 Science and Technology Department, Nanjing University of Posts and Telecommunications, Nanjing, China

2 School of Marxism, Hohai University, Nanjing, Jiangsu, China

3 Government Enterprise Customer Center, China Mobile Group Jiangsu Co., Ltd., Nanjing, China

The use of social media is incomparably on the rise among students, influenced by the globalized forms of communication and the post-pandemic rush to use multiple social media platforms for education in different fields of study. Though social media has created tremendous chances for sharing ideas and emotions, the kind of social support it provides might fail to meet students’ emotional needs, or the alleged positive effects might be short-lasting. In recent years, several studies have been conducted to explore the potential effects of social media on students’ affective traits, such as stress, anxiety, depression, and so on. The present paper reviews the findings of the exemplary published works of research to shed light on the positive and negative potential effects of the massive use of social media on students’ emotional well-being. This review can be insightful for teachers who tend to take the potential psychological effects of social media for granted. They may want to know more about the actual effects of the over-reliance on and the excessive (and actually obsessive) use of social media on students’ developing certain images of self and certain emotions which are not necessarily positive. There will be implications for pre- and in-service teacher training and professional development programs and all those involved in student affairs.

Introduction

Social media has turned into an essential element of individuals’ lives including students in today’s world of communication. Its use is growing significantly more than ever before especially in the post-pandemic era, marked by a great revolution happening to the educational systems. Recent investigations of using social media show that approximately 3 billion individuals worldwide are now communicating via social media ( Iwamoto and Chun, 2020 ). This growing population of social media users is spending more and more time on social network groupings, as facts and figures show that individuals spend 2 h a day, on average, on a variety of social media applications, exchanging pictures and messages, updating status, tweeting, favoring, and commenting on many updated socially shared information ( Abbott, 2017 ).

Researchers have begun to investigate the psychological effects of using social media on students’ lives. Chukwuere and Chukwuere (2017) maintained that social media platforms can be considered the most important source of changing individuals’ mood, because when someone is passively using a social media platform seemingly with no special purpose, s/he can finally feel that his/her mood has changed as a function of the nature of content overviewed. Therefore, positive and negative moods can easily be transferred among the population using social media networks ( Chukwuere and Chukwuere, 2017 ). This may become increasingly important as students are seen to be using social media platforms more than before and social networking is becoming an integral aspect of their lives. As described by Iwamoto and Chun (2020) , when students are affected by social media posts, especially due to the increasing reliance on social media use in life, they may be encouraged to begin comparing themselves to others or develop great unrealistic expectations of themselves or others, which can have several affective consequences.

Considering the increasing influence of social media on education, the present paper aims to focus on the affective variables such as depression, stress, and anxiety, and how social media can possibly increase or decrease these emotions in student life. The exemplary works of research on this topic in recent years will be reviewed here, hoping to shed light on the positive and negative effects of these ever-growing influential platforms on the psychology of students.

Significance of the study

Though social media, as the name suggests, is expected to keep people connected, probably this social connection is only superficial, and not adequately deep and meaningful to help individuals feel emotionally attached to others. The psychological effects of social media on student life need to be studied in more depth to see whether social media really acts as a social support for students and whether students can use social media to cope with negative emotions and develop positive feelings or not. In other words, knowledge of the potential effects of the growing use of social media on students’ emotional well-being can bridge the gap between the alleged promises of social media and what it actually has to offer to students in terms of self-concept, self-respect, social role, and coping strategies (for stress, anxiety, etc.).

Exemplary general literature on psychological effects of social media

Before getting down to the effects of social media on students’ emotional well-being, some exemplary works of research in recent years on the topic among general populations are reviewed. For one, Aalbers et al. (2018) reported that individuals who spent more time passively working with social media suffered from more intense levels of hopelessness, loneliness, depression, and perceived inferiority. For another, Tang et al. (2013) observed that the procedures of sharing information, commenting, showing likes and dislikes, posting messages, and doing other common activities on social media are correlated with higher stress. Similarly, Ley et al. (2014) described that people who spend 2 h, on average, on social media applications will face many tragic news, posts, and stories which can raise the total intensity of their stress. This stress-provoking effect of social media has been also pinpointed by Weng and Menczer (2015) , who contended that social media becomes a main source of stress because people often share all kinds of posts, comments, and stories ranging from politics and economics, to personal and social affairs. According to Iwamoto and Chun (2020) , anxiety and depression are the negative emotions that an individual may develop when some source of stress is present. In other words, when social media sources become stress-inducing, there are high chances that anxiety and depression also develop.

Charoensukmongkol (2018) reckoned that the mental health and well-being of the global population can be at a great risk through the uncontrolled massive use of social media. These researchers also showed that social media sources can exert negative affective impacts on teenagers, as they can induce more envy and social comparison. According to Fleck and Johnson-Migalski (2015) , though social media, at first, plays the role of a stress-coping strategy, when individuals continue to see stressful conditions (probably experienced and shared by others in media), they begin to develop stress through the passage of time. Chukwuere and Chukwuere (2017) maintained that social media platforms continue to be the major source of changing mood among general populations. For example, someone might be passively using a social media sphere, and s/he may finally find him/herself with a changed mood depending on the nature of the content faced. Then, this good or bad mood is easily shared with others in a flash through the social media. Finally, as Alahmar (2016) described, social media exposes people especially the young generation to new exciting activities and events that may attract them and keep them engaged in different media contexts for hours just passing their time. It usually leads to reduced productivity, reduced academic achievement, and addiction to constant media use ( Alahmar, 2016 ).

The number of studies on the potential psychological effects of social media on people in general is higher than those selectively addressed here. For further insights into this issue, some other suggested works of research include Chang (2012) , Sriwilai and Charoensukmongkol (2016) , and Zareen et al. (2016) . Now, we move to the studies that more specifically explored the effects of social media on students’ affective states.

Review of the affective influences of social media on students

Vygotsky’s mediational theory (see Fernyhough, 2008 ) can be regarded as a main theoretical background for the support of social media on learners’ affective states. Based on this theory, social media can play the role of a mediational means between learners and the real environment. Learners’ understanding of this environment can be mediated by the image shaped via social media. This image can be either close to or different from the reality. In the case of the former, learners can develop their self-image and self-esteem. In the case of the latter, learners might develop unrealistic expectations of themselves by comparing themselves to others. As it will be reviewed below among the affective variables increased or decreased in students under the influence of the massive use of social media are anxiety, stress, depression, distress, rumination, and self-esteem. These effects have been explored more among school students in the age range of 13–18 than university students (above 18), but some studies were investigated among college students as well. Exemplary works of research on these affective variables are reviewed here.

In a cross-sectional study, O’Dea and Campbell (2011) explored the impact of online interactions of social networks on the psychological distress of adolescent students. These researchers found a negative correlation between the time spent on social networking and mental distress. Dumitrache et al. (2012) explored the relations between depression and the identity associated with the use of the popular social media, the Facebook. This study showed significant associations between depression and the number of identity-related information pieces shared on this social network. Neira and Barber (2014) explored the relationship between students’ social media use and depressed mood at teenage. No significant correlation was found between these two variables. In the same year, Tsitsika et al. (2014) explored the associations between excessive use of social media and internalizing emotions. These researchers found a positive correlation between more than 2-h a day use of social media and anxiety and depression.

Hanprathet et al. (2015) reported a statistically significant positive correlation between addiction to Facebook and depression among about a thousand high school students in wealthy populations of Thailand and warned against this psychological threat. Sampasa-Kanyinga and Lewis (2015) examined the relationship between social media use and psychological distress. These researchers found that the use of social media for more than 2 h a day was correlated with a higher intensity of psychological distress. Banjanin et al. (2015) tested the relationship between too much use of social networking and depression, yet found no statistically significant correlation between these two variables. Frison and Eggermont (2016) examined the relationships between different forms of Facebook use, perceived social support of social media, and male and female students’ depressed mood. These researchers found a positive association between the passive use of the Facebook and depression and also between the active use of the social media and depression. Furthermore, the perceived social support of the social media was found to mediate this association. Besides, gender was found as the other factor to mediate this relationship.

Vernon et al. (2017) explored change in negative investment in social networking in relation to change in depression and externalizing behavior. These researchers found that increased investment in social media predicted higher depression in adolescent students, which was a function of the effect of higher levels of disrupted sleep. Barry et al. (2017) explored the associations between the use of social media by adolescents and their psychosocial adjustment. Social media activity showed to be positively and moderately associated with depression and anxiety. Another investigation was focused on secondary school students in China conducted by Li et al. (2017) . The findings showed a mediating role of insomnia on the significant correlation between depression and addiction to social media. In the same year, Yan et al. (2017) aimed to explore the time spent on social networks and its correlation with anxiety among middle school students. They found a significant positive correlation between more than 2-h use of social networks and the intensity of anxiety.

Also in China, Wang et al. (2018) showed that addiction to social networking sites was correlated positively with depression, and this correlation was mediated by rumination. These researchers also found that this mediating effect was moderated by self-esteem. It means that the effect of addiction on depression was compounded by low self-esteem through rumination. In another work of research, Drouin et al. (2018) showed that though social media is expected to act as a form of social support for the majority of university students, it can adversely affect students’ mental well-being, especially for those who already have high levels of anxiety and depression. In their research, the social media resources were found to be stress-inducing for half of the participants, all university students. The higher education population was also studied by Iwamoto and Chun (2020) . These researchers investigated the emotional effects of social media in higher education and found that the socially supportive role of social media was overshadowed in the long run in university students’ lives and, instead, fed into their perceived depression, anxiety, and stress.

Keles et al. (2020) provided a systematic review of the effect of social media on young and teenage students’ depression, psychological distress, and anxiety. They found that depression acted as the most frequent affective variable measured. The most salient risk factors of psychological distress, anxiety, and depression based on the systematic review were activities such as repeated checking for messages, personal investment, the time spent on social media, and problematic or addictive use. Similarly, Mathewson (2020) investigated the effect of using social media on college students’ mental health. The participants stated the experience of anxiety, depression, and suicidality (thoughts of suicide or attempts to suicide). The findings showed that the types and frequency of using social media and the students’ perceived mental health were significantly correlated with each other.

The body of research on the effect of social media on students’ affective and emotional states has led to mixed results. The existing literature shows that there are some positive and some negative affective impacts. Yet, it seems that the latter is pre-dominant. Mathewson (2020) attributed these divergent positive and negative effects to the different theoretical frameworks adopted in different studies and also the different contexts (different countries with whole different educational systems). According to Fredrickson’s broaden-and-build theory of positive emotions ( Fredrickson, 2001 ), the mental repertoires of learners can be built and broadened by how they feel. For instance, some external stimuli might provoke negative emotions such as anxiety and depression in learners. Having experienced these negative emotions, students might repeatedly check their messages on social media or get addicted to them. As a result, their cognitive repertoire and mental capacity might become limited and they might lose their concentration during their learning process. On the other hand, it should be noted that by feeling positive, learners might take full advantage of the affordances of the social media and; thus, be able to follow their learning goals strategically. This point should be highlighted that the link between the use of social media and affective states is bi-directional. Therefore, strategic use of social media or its addictive use by students can direct them toward either positive experiences like enjoyment or negative ones such as anxiety and depression. Also, these mixed positive and negative effects are similar to the findings of several other relevant studies on general populations’ psychological and emotional health. A number of studies (with general research populations not necessarily students) showed that social networks have facilitated the way of staying in touch with family and friends living far away as well as an increased social support ( Zhang, 2017 ). Given the positive and negative emotional effects of social media, social media can either scaffold the emotional repertoire of students, which can develop positive emotions in learners, or induce negative provokers in them, based on which learners might feel negative emotions such as anxiety and depression. However, admittedly, social media has also generated a domain that encourages the act of comparing lives, and striving for approval; therefore, it establishes and internalizes unrealistic perceptions ( Virden et al., 2014 ; Radovic et al., 2017 ).

It should be mentioned that the susceptibility of affective variables to social media should be interpreted from a dynamic lens. This means that the ecology of the social media can make changes in the emotional experiences of learners. More specifically, students’ affective variables might self-organize into different states under the influence of social media. As for the positive correlation found in many studies between the use of social media and such negative effects as anxiety, depression, and stress, it can be hypothesized that this correlation is induced by the continuous comparison the individual makes and the perception that others are doing better than him/her influenced by the posts that appear on social media. Using social media can play a major role in university students’ psychological well-being than expected. Though most of these studies were correlational, and correlation is not the same as causation, as the studies show that the number of participants experiencing these negative emotions under the influence of social media is significantly high, more extensive research is highly suggested to explore causal effects ( Mathewson, 2020 ).

As the review of exemplary studies showed, some believed that social media increased comparisons that students made between themselves and others. This finding ratifies the relevance of the Interpretation Comparison Model ( Stapel and Koomen, 2000 ; Stapel, 2007 ) and Festinger’s (1954) Social Comparison Theory. Concerning the negative effects of social media on students’ psychology, it can be argued that individuals may fail to understand that the content presented in social media is usually changed to only represent the attractive aspects of people’s lives, showing an unrealistic image of things. We can add that this argument also supports the relevance of the Social Comparison Theory and the Interpretation Comparison Model ( Stapel and Koomen, 2000 ; Stapel, 2007 ), because social media sets standards that students think they should compare themselves with. A constant observation of how other students or peers are showing their instances of achievement leads to higher self-evaluation ( Stapel and Koomen, 2000 ). It is conjectured that the ubiquitous role of social media in student life establishes unrealistic expectations and promotes continuous comparison as also pinpointed in the Interpretation Comparison Model ( Stapel and Koomen, 2000 ; Stapel, 2007 ).

Implications of the study

The use of social media is ever increasing among students, both at school and university, which is partly because of the promises of technological advances in communication services and partly because of the increased use of social networks for educational purposes in recent years after the pandemic. This consistent use of social media is not expected to leave students’ psychological, affective and emotional states untouched. Thus, it is necessary to know how the growing usage of social networks is associated with students’ affective health on different aspects. Therefore, we found it useful to summarize the research findings in recent years in this respect. If those somehow in charge of student affairs in educational settings are aware of the potential positive or negative effects of social media usage on students, they can better understand the complexities of students’ needs and are better capable of meeting them.

Psychological counseling programs can be initiated at schools or universities to check upon the latest state of students’ mental and emotional health influenced by the pervasive use of social media. The counselors can be made aware of the potential adverse effects of social networking and can adapt the content of their inquiries accordingly. Knowledge of the potential reasons for student anxiety, depression, and stress can help school or university counselors to find individualized coping strategies when they diagnose any symptom of distress in students influenced by an excessive use of social networking.

Admittedly, it is neither possible to discard the use of social media in today’s academic life, nor to keep students’ use of social networks fully controlled. Certainly, the educational space in today’s world cannot do without the social media, which has turned into an integral part of everybody’s life. Yet, probably students need to be instructed on how to take advantage of the media and to be the least affected negatively by its occasional superficial and unrepresentative content. Compensatory programs might be needed at schools or universities to encourage students to avoid making unrealistic and impartial comparisons of themselves and the flamboyant images of others displayed on social media. Students can be taught to develop self-appreciation and self-care while continuing to use the media to their benefit.

The teachers’ role as well as the curriculum developers’ role are becoming more important than ever, as they can significantly help to moderate the adverse effects of the pervasive social media use on students’ mental and emotional health. The kind of groupings formed for instructional purposes, for example, in social media can be done with greater care by teachers to make sure that the members of the groups are homogeneous and the tasks and activities shared in the groups are quite relevant and realistic. The teachers cannot always be in a full control of students’ use of social media, and the other fact is that students do not always and only use social media for educational purposes. They spend more time on social media for communicating with friends or strangers or possibly they just passively receive the content produced out of any educational scope just for entertainment. This uncontrolled and unrealistic content may give them a false image of life events and can threaten their mental and emotional health. Thus, teachers can try to make students aware of the potential hazards of investing too much of their time on following pages or people that publish false and misleading information about their personal or social identities. As students, logically expected, spend more time with their teachers than counselors, they may be better and more receptive to the advice given by the former than the latter.

Teachers may not be in full control of their students’ use of social media, but they have always played an active role in motivating or demotivating students to take particular measures in their academic lives. If teachers are informed of the recent research findings about the potential effects of massively using social media on students, they may find ways to reduce students’ distraction or confusion in class due to the excessive or over-reliant use of these networks. Educators may more often be mesmerized by the promises of technology-, computer- and mobile-assisted learning. They may tend to encourage the use of social media hoping to benefit students’ social and interpersonal skills, self-confidence, stress-managing and the like. Yet, they may be unaware of the potential adverse effects on students’ emotional well-being and, thus, may find the review of the recent relevant research findings insightful. Also, teachers can mediate between learners and social media to manipulate the time learners spend on social media. Research has mainly indicated that students’ emotional experiences are mainly dependent on teachers’ pedagogical approach. They should refrain learners from excessive use of, or overreliance on, social media. Raising learners’ awareness of this fact that individuals should develop their own path of development for learning, and not build their development based on unrealistic comparison of their competences with those of others, can help them consider positive values for their activities on social media and, thus, experience positive emotions.

At higher education, students’ needs are more life-like. For example, their employment-seeking spirits might lead them to create accounts in many social networks, hoping for a better future. However, membership in many of these networks may end in the mere waste of the time that could otherwise be spent on actual on-campus cooperative projects. Universities can provide more on-campus resources both for research and work experience purposes from which the students can benefit more than the cyberspace that can be tricky on many occasions. Two main theories underlying some negative emotions like boredom and anxiety are over-stimulation and under-stimulation. Thus, what learners feel out of their involvement in social media might be directed toward negative emotions due to the stimulating environment of social media. This stimulating environment makes learners rely too much, and spend too much time, on social media or use them obsessively. As a result, they might feel anxious or depressed. Given the ubiquity of social media, these negative emotions can be replaced with positive emotions if learners become aware of the psychological effects of social media. Regarding the affordances of social media for learners, they can take advantage of the potential affordances of these media such as improving their literacy, broadening their communication skills, or enhancing their distance learning opportunities.

A review of the research findings on the relationship between social media and students’ affective traits revealed both positive and negative findings. Yet, the instances of the latter were more salient and the negative psychological symptoms such as depression, anxiety, and stress have been far from negligible. These findings were discussed in relation to some more relevant theories such as the social comparison theory, which predicted that most of the potential issues with the young generation’s excessive use of social media were induced by the unfair comparisons they made between their own lives and the unrealistic portrayal of others’ on social media. Teachers, education policymakers, curriculum developers, and all those in charge of the student affairs at schools and universities should be made aware of the psychological effects of the pervasive use of social media on students, and the potential threats.

It should be reminded that the alleged socially supportive and communicative promises of the prevalent use of social networking in student life might not be fully realized in practice. Students may lose self-appreciation and gratitude when they compare their current state of life with the snapshots of others’ or peers’. A depressed or stressed-out mood can follow. Students at schools or universities need to learn self-worth to resist the adverse effects of the superficial support they receive from social media. Along this way, they should be assisted by the family and those in charge at schools or universities, most importantly the teachers. As already suggested, counseling programs might help with raising students’ awareness of the potential psychological threats of social media to their health. Considering the ubiquity of social media in everybody’ life including student life worldwide, it seems that more coping and compensatory strategies should be contrived to moderate the adverse psychological effects of the pervasive use of social media on students. Also, the affective influences of social media should not be generalized but they need to be interpreted from an ecological or contextual perspective. This means that learners might have different emotions at different times or different contexts while being involved in social media. More specifically, given the stative approach to learners’ emotions, what learners emotionally experience in their application of social media can be bound to their intra-personal and interpersonal experiences. This means that the same learner at different time points might go through different emotions Also, learners’ emotional states as a result of their engagement in social media cannot be necessarily generalized to all learners in a class.

As the majority of studies on the psychological effects of social media on student life have been conducted on school students than in higher education, it seems it is too soon to make any conclusive remark on this population exclusively. Probably, in future, further studies of the psychological complexities of students at higher education and a better knowledge of their needs can pave the way for making more insightful conclusions about the effects of social media on their affective states.

Suggestions for further research

The majority of studies on the potential effects of social media usage on students’ psychological well-being are either quantitative or qualitative in type, each with many limitations. Presumably, mixed approaches in near future can better provide a comprehensive assessment of these potential associations. Moreover, most studies on this topic have been cross-sectional in type. There is a significant dearth of longitudinal investigation on the effect of social media on developing positive or negative emotions in students. This seems to be essential as different affective factors such as anxiety, stress, self-esteem, and the like have a developmental nature. Traditional research methods with single-shot designs for data collection fail to capture the nuances of changes in these affective variables. It can be expected that more longitudinal studies in future can show how the continuous use of social media can affect the fluctuations of any of these affective variables during the different academic courses students pass at school or university.

As already raised in some works of research reviewed, the different patterns of impacts of social media on student life depend largely on the educational context. Thus, the same research designs with the same academic grade students and even the same age groups can lead to different findings concerning the effects of social media on student psychology in different countries. In other words, the potential positive and negative effects of popular social media like Facebook, Snapchat, Twitter, etc., on students’ affective conditions can differ across different educational settings in different host countries. Thus, significantly more research is needed in different contexts and cultures to compare the results.

There is also a need for further research on the higher education students and how their affective conditions are positively and negatively affected by the prevalent use of social media. University students’ psychological needs might be different from other academic grades and, thus, the patterns of changes that the overall use of social networking can create in their emotions can be also different. Their main reasons for using social media might be different from school students as well, which need to be investigated more thoroughly. The sorts of interventions needed to moderate the potential negative effects of social networking on them can be different too, all requiring a new line of research in education domain.

Finally, there are hopes that considering the ever-increasing popularity of social networking in education, the potential psychological effects of social media on teachers be explored as well. Though teacher psychology has only recently been considered for research, the literature has provided profound insights into teachers developing stress, motivation, self-esteem, and many other emotions. In today’s world driven by global communications in the cyberspace, teachers like everyone else are affecting and being affected by social networking. The comparison theory can hold true for teachers too. Thus, similar threats (of social media) to self-esteem and self-worth can be there for teachers too besides students, which are worth investigating qualitatively and quantitatively.

Probably a new line of research can be initiated to explore the co-development of teacher and learner psychological traits under the influence of social media use in longitudinal studies. These will certainly entail sophisticated research methods to be capable of unraveling the nuances of variation in these traits and their mutual effects, for example, stress, motivation, and self-esteem. If these are incorporated within mixed-approach works of research, more comprehensive and better insightful findings can be expected to emerge. Correlational studies need to be followed by causal studies in educational settings. As many conditions of the educational settings do not allow for having control groups or randomization, probably, experimental studies do not help with this. Innovative research methods, case studies or else, can be used to further explore the causal relations among the different features of social media use and the development of different affective variables in teachers or learners. Examples of such innovative research methods can be process tracing, qualitative comparative analysis, and longitudinal latent factor modeling (for a more comprehensive view, see Hiver and Al-Hoorie, 2019 ).

Author contributions

Both authors listed have made a substantial, direct, and intellectual contribution to the work, and approved it for publication.

This study was sponsored by Wuxi Philosophy and Social Sciences bidding project—“Special Project for Safeguarding the Rights and Interests of Workers in the New Form of Employment” (Grant No. WXSK22-GH-13). This study was sponsored by the Key Project of Party Building and Ideological and Political Education Research of Nanjing University of Posts and Telecommunications—“Research on the Guidance and Countermeasures of Network Public Opinion in Colleges and Universities in the Modern Times” (Grant No. XC 2021002).

Conflict of interest

Author XX was employed by China Mobile Group Jiangsu Co., Ltd. The remaining author declares 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.

  • Aalbers G., McNally R. J., Heeren A., de Wit S., Fried E. I. (2018). Social media and depression symptoms: A network perspective. J. Exp. Psychol. Gen. 148 1454–1462. 10.1037/xge0000528 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Abbott J. (2017). Introduction: Assessing the social and political impact of the internet and new social media in Asia. J. Contemp. Asia 43 579–590. 10.1080/00472336.2013.785698 [ CrossRef ] [ Google Scholar ]
  • Alahmar A. T. (2016). The impact of social media on the academic performance of second year medical students at College of Medicine, University of Babylon, Iraq. J. Med. Allied Sci. 6 77–83. 10.5455/jmas.236927 [ CrossRef ] [ Google Scholar ]
  • Banjanin N., Banjanin N., Dimitrijevic I., Pantic I. (2015). Relationship between internet use and depression: Focus on physiological mood oscillations, social networking and online addictive behavior. Comp. Hum. Behav. 43 308–312. 10.1016/j.chb.2014.11.013 [ CrossRef ] [ Google Scholar ]
  • Barry C. T., Sidoti C. L., Briggs S. M., Reiter S. R., Lindsey R. A. (2017). Adolescent social media use and mental health from adolescent and parent perspectives. J. Adolesc. 61 1–11. 10.1016/j.adolescence.2017.08.005 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Chang Y. (2012). The relationship between maladaptive perfectionism with burnout: Testing mediating effect of emotion-focused coping. Pers. Individ. Differ. 53 635–639. 10.1016/j.paid.2012.05.002 [ CrossRef ] [ Google Scholar ]
  • Charoensukmongkol P. (2018). The impact of social media on social comparison and envy in teenagers: The moderating role of the parent comparing children and in-group competition among friends. J. Child Fam. Stud. 27 69–79. 10.1007/s10826-017-0872-8 [ CrossRef ] [ Google Scholar ]
  • Chukwuere J. E., Chukwuere P. C. (2017). The impact of social media on social lifestyle: A case study of university female students. Gender Behav. 15 9966–9981. [ Google Scholar ]
  • Drouin M., Reining L., Flanagan M., Carpenter M., Toscos T. (2018). College students in distress: Can social media be a source of social support? Coll. Stud. J. 52 494–504. [ Google Scholar ]
  • Dumitrache S. D., Mitrofan L., Petrov Z. (2012). Self-image and depressive tendencies among adolescent Facebook users. Rev. Psihol. 58 285–295. [ Google Scholar ]
  • Fernyhough C. (2008). Getting Vygotskian about theory of mind: Mediation, dialogue, and the development of social understanding. Dev. Rev. 28 225–262. 10.1016/j.dr.2007.03.001 [ CrossRef ] [ Google Scholar ]
  • Festinger L. (1954). A Theory of social comparison processes. Hum. Relat. 7 117–140. 10.1177/001872675400700202 [ CrossRef ] [ Google Scholar ]
  • Fleck J., Johnson-Migalski L. (2015). The impact of social media on personal and professional lives: An Adlerian perspective. J. Individ. Psychol. 71 135–142. 10.1353/jip.2015.0013 [ CrossRef ] [ Google Scholar ]
  • Fredrickson B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. Am. Psychol. 56 218–226. 10.1037/0003-066X.56.3.218 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Frison E., Eggermont S. (2016). Exploring the relationships between different types of Facebook use, perceived online social support, and adolescents’ depressed mood. Soc. Sci. Compu. Rev. 34 153–171. 10.1177/0894439314567449 [ CrossRef ] [ Google Scholar ]
  • Hanprathet N., Manwong M., Khumsri J., Yingyeun R., Phanasathit M. (2015). Facebook addiction and its relationship with mental health among Thai high school students. J. Med. Assoc. Thailand 98 S81–S90. [ PubMed ] [ Google Scholar ]
  • Hiver P., Al-Hoorie A. H. (2019). Research Methods for Complexity Theory in Applied Linguistics. Bristol: Multilingual Matters. 10.21832/HIVER5747 [ CrossRef ] [ Google Scholar ]
  • Iwamoto D., Chun H. (2020). The emotional impact of social media in higher education. Int. J. High. Educ. 9 239–247. 10.5430/ijhe.v9n2p239 [ CrossRef ] [ Google Scholar ]
  • Keles B., McCrae N., Grealish A. (2020). A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. Int. J. Adolesc. Youth 25 79–93. 10.1080/02673843.2019.1590851 [ CrossRef ] [ Google Scholar ]
  • Ley B., Ogonowski C., Hess J., Reichling T., Wan L., Wulf V. (2014). Impacts of new technologies on media usage and social behavior in domestic environments. Behav. Inform. Technol. 33 815–828. 10.1080/0144929X.2013.832383 [ CrossRef ] [ Google Scholar ]
  • Li J.-B., Lau J. T. F., Mo P. K. H., Su X.-F., Tang J., Qin Z.-G., et al. (2017). Insomnia partially mediated the association between problematic Internet use and depression among secondary school students in China. J. Behav. Addict. 6 554–563. 10.1556/2006.6.2017.085 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Mathewson M. (2020). The impact of social media usage on students’ mental health. J. Stud. Affairs 29 146–160. [ Google Scholar ]
  • Neira B. C. J., Barber B. L. (2014). Social networking site use: Linked to adolescents’ social self-concept, self-esteem, and depressed mood. Aus. J. Psychol. 66 56–64. 10.1111/ajpy.12034 [ CrossRef ] [ Google Scholar ]
  • O’Dea B., Campbell A. (2011). Online social networking amongst teens: Friend or foe? Ann. Rev. CyberTher. Telemed. 9 108–112. [ PubMed ] [ Google Scholar ]
  • Radovic A., Gmelin T., Stein B. D., Miller E. (2017). Depressed adolescents positive and negative use of social media. J. Adolesc. 55 5–15. 10.1016/j.adolescence.2016.12.002 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Sampasa-Kanyinga H., Lewis R. F. (2015). Frequent use of social networking sites is associated with poor psychological functioning among children and adolescents. Cyberpsychol. Behav. Soc. Network. 18 380–385. 10.1089/cyber.2015.0055 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Sriwilai K., Charoensukmongkol P. (2016). Face it, don’t Facebook it: Impacts of social media addiction on mindfulness, coping strategies and the consequence on emotional exhaustion. Stress Health 32 427–434. 10.1002/smi.2637 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Stapel D. A. (2007). “ In the mind of the beholder: The interpretation comparison model of accessibility effects ,” in Assimilation and Contrast in Social Psychology , eds Stapel D. A., Suls J. (London: Psychology Press; ), 143–164. [ Google Scholar ]
  • Stapel D. A., Koomen W. (2000). Distinctiveness of others, mutability of selves: Their impact on self-evaluations. J. Pers. Soc. Psychol. 79 1068–1087. 10.1037//0022-3514.79.6.1068 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Tang F., Wang X., Norman C. S. (2013). An investigation of the impact of media capabilities and extraversion on social presence and user satisfaction. Behav. Inform. Technol. 32 1060–1073. 10.1080/0144929X.2013.830335 [ CrossRef ] [ Google Scholar ]
  • Tsitsika A. K., Tzavela E. C., Janikian M., Ólafsson K., Iordache A., Schoenmakers T. M., et al. (2014). Online social networking in adolescence: Patterns of use in six European countries and links with psychosocial functioning. J. Adolesc. Health 55 141–147. 10.1016/j.jadohealth.2013.11.010 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Vernon L., Modecki K. L., Barber B. L. (2017). Tracking effects of problematic social networking on adolescent psychopathology: The mediating role of sleep disruptions. J. Clin. Child Adolesc. Psychol. 46 269–283. 10.1080/15374416.2016.1188702 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Virden A., Trujillo A., Predeger E. (2014). Young adult females’ perceptions of high-risk social media behaviors: A focus-group approach. J. Commun. Health Nurs. 31 133–144. 10.1080/07370016.2014.926677 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Wang P., Wang X., Wu Y., Xie X., Wang X., Zhao F., et al. (2018). Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem. Pers. Individ. Differ. 127 162–167. 10.1016/j.paid.2018.02.008 [ CrossRef ] [ Google Scholar ]
  • Weng L., Menczer F. (2015). Topicality and impact in social media: Diverse messages, focused messengers. PLoS One 10 : e0118410 . 10.1371/journal.pone.0118410 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Yan H., Zhang R., Oniffrey T. M., Chen G., Wang Y., Wu Y., et al. (2017). Associations among screen time and unhealthy behaviors, academic performance, and well-being in Chinese adolescents. Int. J. Environ. Res. Public Health 14 : 596 . 10.3390/ijerph14060596 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Zareen N., Karim N., Khan U. A. (2016). Psycho-emotional impact of social media emojis. ISRA Med. J. 8 257–262. [ Google Scholar ]
  • Zhang R. (2017). The stress-buffering effect of self-disclosure on Facebook: An examination of stressful life events, social support, and mental health among college students. Comp. Hum. Behav. 75 527–537. 10.1016/j.chb.2017.05.043 [ CrossRef ] [ Google Scholar ]

Advertisement

Advertisement

Social Media Addiction and Its Impact on College Students' Academic Performance: The Mediating Role of Stress

  • Regular Article
  • Published: 01 November 2021
  • Volume 32 , pages 81–90, ( 2023 )

Cite this article

  • Lei Zhao   ORCID: orcid.org/0000-0002-7337-3065 1 , 2  

6713 Accesses

12 Citations

1 Altmetric

Explore all metrics

Social media use can bring negative effects to college students, such as social media addiction (SMA) and decline in academic performance. SMA may increase the perceived stress level of college students, and stress has a negative impact on academic performance, but this potential mediating role of stress has not been verified in existing studies. In this paper, a research model was developed to investigate the antecedent variables of SMA, and the relationship between SMA, stress and academic performance. With the data of 372 Chinese college students (mean age 21.3, 42.5% males), Partial Least Squares, Structural Equation Model was adopted to evaluate measurement model and structural model. The results show that use intensity is an important predictor of SMA, and both SMA and stress have a negative impact on college students’ academic performance. In addition, we further confirmed that stress plays a mediating role in the relationship between SMA and college students’ academic performance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

impact of social media on students life research paper

Similar content being viewed by others

impact of social media on students life research paper

An investigation of the social media overload and academic performance

Xiongfei Cao, Yuntao Wu, … Ahsan Ali

impact of social media on students life research paper

A serial mediation model of social media addiction and college students’ academic engagement: the role of sleep quality and fatigue

Jie Zhuang, Qiaoxing Mou, … Miaomiao Zhao

impact of social media on students life research paper

Associations Between Academic Motivation, Academic Stress, and Mobile Phone Addiction: Mediating Roles of Wisdom

Abolghasem Yaghoobi, Kambiz Karimi, … Sahar Mohammadi

Al-Yafi, K., El-Masri, M., & Tsai, R. (2018). The effects of using social network sites on academic performance: The case of Qatar. Journal of Enterprise Information Management , 31 (3), 446–462. https://doi.org/10.1108/JEIM-08-2017-0118 .

Andreassen, C. S., & Pallesen, S. (2014). Social network site addiction—an overview. Current Pharmaceutical Design, 20 , 1–9.

Article   Google Scholar  

Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2017). The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64 , 287–293. https://doi.org/10.1016/j.addbeh.2016.03.006

Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a facebook addiction scale. Psychological Reports, 110 (2), 501–517.

Argyris, Y. E., & Xu, J. (2016). Enhancing self-efficacy for career development in Facebook. Computers in Human Behavior, 55 (2), 921–931. https://doi.org/10.1016/j.chb.2015.10.023

Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55 (5), 469–480. https://doi.org/10.1016/j.chb.2015.10.023

Bano, S., Cisheng, W., Khan, A., & Khan, N. A. (2019). WhatsApp use and student’s psychological well-being: Role of social capital and social integration. Children and Youth Services Review, 103 , 200–208. https://doi.org/10.1016/j.childyouth.2019.06.002

Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies, 2 (2), 285–309.

Google Scholar  

Bijari, B., Javadinia, S. A., Erfanian, M., Abedini, M. R., & Abassi, A. (2013). The impact of virtual social networks on students’ academic achievement in Birjand University of Medical Sciences in East Iran. Procedia Social and Behavioural Sciences, 83 , 103–106. https://doi.org/10.1016/j.sbspro.2013.06.020

Błachnio, A., Przepiorka, A., & Pantic, I. (2016). Association between facebook addiction, self-esteem and life satisfaction: A cross-sectional study. Computers in Human Behavior, 55 , 701–705. https://doi.org/10.1016/j.chb.2015.10.026

Brailovskaia, J., Rohmann, E., Bierhoff, H. W., Schillack, H., & Margraf, J. (2019). The relationship between daily stress, social support and Facebook addiction disorder. Psychiatry Research, 276 , 167–174. https://doi.org/10.1016/j.psychres.2019.05.014

Brailovskaia, J., Schillack, H., & Margraf, J. (2018). Facebook addiction disorder in Germany. Cyberpsychology, Behavior, and Social Networking, 21 (7), 450–456. https://doi.org/10.1089/cyber.2018.0140

Buil, I., Martínez, E., & Matute, J. (2016). From internal brand management to organizational citizenship behaviors: Evidence from frontline employees in the hotel industry. Tourism Management, 57 (12), 256–271. https://doi.org/10.1016/j.tourman.2016.06.009

Busalim, A. H., Masrom, M., & Zakaria, W. N. B. W. (2019). The impact of Facebook addiction and self-esteem on students’ academic performance: A multi-group analysis. Computers & Education, 142 , 103651. https://doi.org/10.1016/j.compedu.2019.103651

Carolus, A., Binder, J. F., Muench, R., Schmidt, C., Schneider, F., & Buglass, S. L. (2019). Smartphones as digital companions: Characterizing the relationship between users and their phones. New Media & Society, 21 , 914–938. https://doi.org/10.1177/1461444818817074

China Internet Network Information Center (CNNIC), 2020. The 44th Statistical Report on Internet Development in China (in Chinese). Retrieved August 28, 2020, from http://www.cac.gov.cn/2020-08/30/c_1124938750.htm

Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24 (4), 385–396. https://doi.org/10.2307/2136404

Dendle, C., Baulch, J., Pellicano, R., Hay, M., Lichtwark, I., Ayoub, S., & Horne, K. (2018). Medical student psychological distress and academic performance. Medical Teacher . https://doi.org/10.4236/ce.2018.99099

Doleck, T., & Lajoie, S. (2018). Social networking and academic performance: A review. Education and Information Technologies, 23 (1), 435–465. https://doi.org/10.1007/s10639-017-9612-3

Griffths, M. D., Kuss, D. J., & Demetrovics, Z. (2014). Social networking addictions: An overview of preliminary findings. Behavioral Addictions Criteria, Evidence, and Treatment , 119–141. https://doi.org/10.1016/B978-0-12-407724-9.00006-9 .

Hair, J. F. J., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM) . Sage Publication.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of pls-sem. European Business Review, 31 (1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76 (4), 408–420. https://doi.org/10.1080/03637750903310360

Hormes, J. M., Kearns, B., & Timko, C. A. (2014). Craving Facebook? Behavioral addiction to online social networking and its association with emotion regulation deficits. Addiction, 109 (12), 2079–2088. https://doi.org/10.1111/add.12713

Hsiao, K. L., Shu, Y., & Huang, T. C. (2017). Exploring the effect of compulsive social app usage on technostress and academic performance: Perspectives from personality traits. Telematics and Informatics, 34 , 679–690. https://doi.org/10.1016/j.tele.2016.11.001

Jie, T., Yizhen, Y., Yukai, D., Ying, M., Dongying, Z., & Jiaji, W. (2014). Addictive behaviors prevalence of internet addiction and its association with stressful life events and psychological symptoms among adolescent internet users. Addictive Behaviors, 39 (3), 744–747. https://doi.org/10.1016/j.adolescence.2016.07.012

Juana, I., Serafín, B., Jesús, L., et al. (2020). Effectiveness of music therapy and progressive muscle relaxation in reducing stress before exams and improving academic performance in nursing students: A randomized trial. Nurse Education Today, 84 , 104217. https://doi.org/10.1016/j.nedt.2019.104217

Kimberly, Y. (2009). Facebook addiction disorder . The Center for Online Addiction.

Lau, W. W. F. (2017). Effects of social media usage and social media multitasking on the academic performance of university students. Computers in Human Behavior, 68 (3), 286–291. https://doi.org/10.1016/j.chb.2016.11.043

Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping . Springer.

Lee, W. W. S. (2017). Relationships among grit, academic performance, perceived academic failure, and stress in associate degree students. Journal of Adolescence, 60 , 148–152. https://doi.org/10.1016/j.adolescence.2017.08.006

Leung, L. (2007). Stressful life events, motives for Internet use, and social support among digital kids. CyberPsychology & Behavior, 10 (2), 204–214. https://doi.org/10.1089/cpb.2006.9967

Liang, C., Gu, D., Tao, F., Jain, H. K., Zhao, Y., & Ding, B. (2017). Influence of mechanism of patient-accessible hospital information system implementation on doctor-patient relationships: A service fairness perspective. Information & Management, 54 (1), 57–72.

Lim, K., & Jeoung, Y. S. (2010). Understanding major factors in taking Internet based lectures for the national college entrance exam according to academic performance by case studies. The Journal of the Korea Contents Association, 10 (12), 477–491. https://doi.org/10.5392/JKCA.2010.10.12.477

Lim, Y., & Nam, S.-J. (2016). Time spent on the Internet by multicultural adolescents in Korea. Asia Pacific Journal of Education, 37 (1), 55–68. https://doi.org/10.1080/02188791.2016.1169994

Lin, C. L., Jin, Y. Q., Zhao, Q., Yu, S. W., & Su, Y. S. (2021). Factors influence students’ switching behavior to online learning under covid-19 pandemic: A push-pull-mooring model perspective. The Asia-Pacific Education Researcher, 30 (3), 229–245. https://doi.org/10.1007/s40299-021-00570-0

Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the depression anxiety stress scales (DASS) with the Beck depression and anxiety inventories. Behaviour Research and Therapy, 33 (3), 335–343. https://doi.org/10.1016/j.jad.2015.12.004

Marino, C., Gini, G., Vieno, A., & Spada, M. M. (2018). A comprehensive meta-analysis on problematic Facebook use. Computers in Human Behavior, 83 , 262–277. https://doi.org/10.1016/j.chb.2018.02.009

Masood, A., Luqman, A., Feng, Y., & Ali, A. (2020). Adverse consequences of excessive social networking site use on academic performance: Explaining underlying mechanism from stress perspective. Computers in Human Behavior . https://doi.org/10.1016/j.chb.2020.106476

McDaniel, B. (2015). ‘Technoference’: Everyday intrusions and inter-ruptions of technology in couple and family relationships. In C. Bruess Içinde (Ed.), Family communication in the age of digital and social media. Peter Lang Publishing.

Nayak, J. K. (2018). Relationship among smartphone usage, addiction, academic performance and the moderating role of gender: A study of higher education students in India. Computers and Education, 123 (5), 164–173. https://doi.org/10.1016/j.compedu.2018.05.007

O'Brien, L. (2012). Six ways to use social media in education. Retrieved from https://cit.duke.edu/blog/2012/04/six-ways-to-use-social-media-in-education/

Orosz, G., Istvan, T., & Beata, B. (2016). Four facets of Facebook intensity—the development of the multidimensional facebook intensity scale. Personality and Individual Differences, 100 , 95–104. https://doi.org/10.1016/j.paid.2015.11.038

Oye, N. D., Adam, M. H., & Nor Zairah, A. R. (2012). Model of perceived influence of academic performance using social networking. International Journal of Computers and Technology, 2 (2), 24–29. https://doi.org/10.24297/ijct.v2i1.2612

Pang, H. (2018). How does time spent on WeChat bolster subjective well-being through social integration and social capital? Telematics and Informatics, 25 , 2147–2156. https://doi.org/10.1016/j.tele.2018.07.015

Paul, J. A., Baker, H. M., & Cochran, J. D. (2012). Effect of online social networking on student academic performance. Computers in Human Behavior, 28 (6), 2117–2127. https://doi.org/10.1016/j.chb.2012.06.016

Peng, Y., & Li, J. (2021). The effect of customer education on service innovation satisfaction: The mediating role of customer participation. Journal of Hospitality and Tourism Management, 47 (5), 326–334. https://doi.org/10.1016/j.jhtm.2020.12.014

Phu, B., & Gow, A. J. (2019). Facebook use and its association with subjective happiness and loneliness. Computers in Human Behavior, 92 , 151–159. https://doi.org/10.1016/j.chb.2018.11.020

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology , 88 (5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879 .

Prato, C. A., & Yucha, C. B. (2013). Biofeedback-assisted relaxation training to decrease test anxiety in nursing students. Nursing Education Perspectives, 34 (2), 76–81. https://doi.org/10.1097/00024776-201303000-00003

Rouis, S. (2012). Impact of cognitive absorption on facebook on students’ achievement. Cyberpsychology, Behavior, and Social Networking, 15 (6), 296–303. https://doi.org/10.1089/cyber.2011.0390

Ryan, T., Chester, A., Reece, J., & Xenos, S. (2014). The uses and abuses of facebook: A review of facebook addiction. Journal of Behavioral Addictions, 3 (3), 133–148. https://doi.org/10.1556/JBA.3.2014.016

Sandra, K., Dawans, B. V., Heinrichs, M., & Fuchs, R. (2013). Does the level of physical exercise affect physiological and psychological responses to psychosocial stress in women. Psychology of Sport and Exercise, 14 , 266–274. https://doi.org/10.1016/j.psychsport.2012.11.003

Shaw, M., & Black, D. W. (2008). Internet addiction . Springer.

Shi, C., Yu, L., Wang, N., Cheng, B., & Cao, X. (2020). Effects of social media overload on academic performance: A stressor–strain–outcome perspective. Asian Journal of Communication, 30 (2), 1–19. https://doi.org/10.1080/01292986.2020.1748073

Statista (2020). Number of social media users worldwide from 2010 to 2021 (in billions). Retrieved from https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/

Tang, J. H., Chen, M. C., Yang, C. Y., Chung, T. Y., & Lee, Y. A. (2016). Personality traits, interpersonal relationships, online social support, and Facebook addiction. Telematics and Informatics, 33 (1), 102–108. https://doi.org/10.1016/j.tele.2015.06.003

Wang, J. L., Wang, H. Z., Gaskin, J., & Wang, L. H. (2015). The role of stress and motivation in problematic smartphone use among college students. Computers in Human Behavior, 53 , 181–188. https://doi.org/10.1016/j.chb.2015.07.005

Wartberg, L., Kriston, L., & Thomasius, R. (2020). Internet gaming disorder and problematic social media use in a representative sample of German adolescents: Prevalence estimates, comorbid depressive symptoms and related psychosocial aspects. Computers in Human Behavior, 103 , 31–36. https://doi.org/10.1016/j.chb.2019.09.014

Xu, X. A., Xue, K. N., Wang, L. L., Gursoy, D., & Song, Z. B. (2021). Effects of customer-to-customer social interactions in virtual travel communities on brand attachment: the mediating role of social well-being. Tourism Management Perspectives, 38 , 100790. https://doi.org/10.1016/j.tmp.2021.100790

Zhao, L. (2021). The impact of social media use types and social media addiction on subjective well-being of college students: A comparative analysis of addicted and non-addicted students. Computers in Human Behavior Reports, 4 (2), 100122. https://doi.org/10.1016/j.chbr.2021.100122

Zhao, L., Liang, C., & Gu, D. (2021). Mobile social media use and trailing parents’ life satisfaction: Social capital and social integration perspective. International Journal of Aging and Human Development, 92 (3), 383–405. https://doi.org/10.1177/0091415020905549

Download references

Acknowledgements

This study is supported by the Planning Subject for the 14th Five-year Plan of National Education Sciences (Grant No. EIA210425).

Author information

Authors and affiliations.

School of Management, Hefei University of Technology, Hefei, 230009, Anhui, China

Wendian College, Anhui University, Hefei, 230601, Anhui, China

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Lei Zhao .

Ethics declarations

Conflict of interest.

The authors declared no potential conflict of interest with respect to the research, authorship, and/or publication of this article.

Additional information

Publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Zhao, L. Social Media Addiction and Its Impact on College Students' Academic Performance: The Mediating Role of Stress. Asia-Pacific Edu Res 32 , 81–90 (2023). https://doi.org/10.1007/s40299-021-00635-0

Download citation

Accepted : 21 October 2021

Published : 01 November 2021

Issue Date : February 2023

DOI : https://doi.org/10.1007/s40299-021-00635-0

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Use intensity
  • Social media addiction
  • Academic performance
  • Find a journal
  • Publish with us
  • Track your research

Subscribe or renew today

Every print subscription comes with full digital access

Science News

Social media harms teens’ mental health, mounting evidence shows. what now.

Understanding what is going on in teens’ minds is necessary for targeted policy suggestions

A teen scrolls through social media alone on her phone.

Most teens use social media, often for hours on end. Some social scientists are confident that such use is harming their mental health. Now they want to pinpoint what explains the link.

Carol Yepes/Getty Images

Share this:

By Sujata Gupta

February 20, 2024 at 7:30 am

In January, Mark Zuckerberg, CEO of Facebook’s parent company Meta, appeared at a congressional hearing to answer questions about how social media potentially harms children. Zuckerberg opened by saying: “The existing body of scientific work has not shown a causal link between using social media and young people having worse mental health.”

But many social scientists would disagree with that statement. In recent years, studies have started to show a causal link between teen social media use and reduced well-being or mood disorders, chiefly depression and anxiety.

Ironically, one of the most cited studies into this link focused on Facebook.

Researchers delved into whether the platform’s introduction across college campuses in the mid 2000s increased symptoms associated with depression and anxiety. The answer was a clear yes , says MIT economist Alexey Makarin, a coauthor of the study, which appeared in the November 2022 American Economic Review . “There is still a lot to be explored,” Makarin says, but “[to say] there is no causal evidence that social media causes mental health issues, to that I definitely object.”

The concern, and the studies, come from statistics showing that social media use in teens ages 13 to 17 is now almost ubiquitous. Two-thirds of teens report using TikTok, and some 60 percent of teens report using Instagram or Snapchat, a 2022 survey found. (Only 30 percent said they used Facebook.) Another survey showed that girls, on average, allot roughly 3.4 hours per day to TikTok, Instagram and Facebook, compared with roughly 2.1 hours among boys. At the same time, more teens are showing signs of depression than ever, especially girls ( SN: 6/30/23 ).

As more studies show a strong link between these phenomena, some researchers are starting to shift their attention to possible mechanisms. Why does social media use seem to trigger mental health problems? Why are those effects unevenly distributed among different groups, such as girls or young adults? And can the positives of social media be teased out from the negatives to provide more targeted guidance to teens, their caregivers and policymakers?

“You can’t design good public policy if you don’t know why things are happening,” says Scott Cunningham, an economist at Baylor University in Waco, Texas.

Increasing rigor

Concerns over the effects of social media use in children have been circulating for years, resulting in a massive body of scientific literature. But those mostly correlational studies could not show if teen social media use was harming mental health or if teens with mental health problems were using more social media.

Moreover, the findings from such studies were often inconclusive, or the effects on mental health so small as to be inconsequential. In one study that received considerable media attention, psychologists Amy Orben and Andrew Przybylski combined data from three surveys to see if they could find a link between technology use, including social media, and reduced well-being. The duo gauged the well-being of over 355,000 teenagers by focusing on questions around depression, suicidal thinking and self-esteem.

Digital technology use was associated with a slight decrease in adolescent well-being , Orben, now of the University of Cambridge, and Przybylski, of the University of Oxford, reported in 2019 in Nature Human Behaviour . But the duo downplayed that finding, noting that researchers have observed similar drops in adolescent well-being associated with drinking milk, going to the movies or eating potatoes.

Holes have begun to appear in that narrative thanks to newer, more rigorous studies.

In one longitudinal study, researchers — including Orben and Przybylski — used survey data on social media use and well-being from over 17,400 teens and young adults to look at how individuals’ responses to a question gauging life satisfaction changed between 2011 and 2018. And they dug into how the responses varied by gender, age and time spent on social media.

Social media use was associated with a drop in well-being among teens during certain developmental periods, chiefly puberty and young adulthood, the team reported in 2022 in Nature Communications . That translated to lower well-being scores around ages 11 to 13 for girls and ages 14 to 15 for boys. Both groups also reported a drop in well-being around age 19. Moreover, among the older teens, the team found evidence for the Goldilocks Hypothesis: the idea that both too much and too little time spent on social media can harm mental health.

“There’s hardly any effect if you look over everybody. But if you look at specific age groups, at particularly what [Orben] calls ‘windows of sensitivity’ … you see these clear effects,” says L.J. Shrum, a consumer psychologist at HEC Paris who was not involved with this research. His review of studies related to teen social media use and mental health is forthcoming in the Journal of the Association for Consumer Research.

Cause and effect

That longitudinal study hints at causation, researchers say. But one of the clearest ways to pin down cause and effect is through natural or quasi-experiments. For these in-the-wild experiments, researchers must identify situations where the rollout of a societal “treatment” is staggered across space and time. They can then compare outcomes among members of the group who received the treatment to those still in the queue — the control group.

That was the approach Makarin and his team used in their study of Facebook. The researchers homed in on the staggered rollout of Facebook across 775 college campuses from 2004 to 2006. They combined that rollout data with student responses to the National College Health Assessment, a widely used survey of college students’ mental and physical health.

The team then sought to understand if those survey questions captured diagnosable mental health problems. Specifically, they had roughly 500 undergraduate students respond to questions both in the National College Health Assessment and in validated screening tools for depression and anxiety. They found that mental health scores on the assessment predicted scores on the screenings. That suggested that a drop in well-being on the college survey was a good proxy for a corresponding increase in diagnosable mental health disorders. 

Compared with campuses that had not yet gained access to Facebook, college campuses with Facebook experienced a 2 percentage point increase in the number of students who met the diagnostic criteria for anxiety or depression, the team found.

When it comes to showing a causal link between social media use in teens and worse mental health, “that study really is the crown jewel right now,” says Cunningham, who was not involved in that research.

A need for nuance

The social media landscape today is vastly different than the landscape of 20 years ago. Facebook is now optimized for maximum addiction, Shrum says, and other newer platforms, such as Snapchat, Instagram and TikTok, have since copied and built on those features. Paired with the ubiquity of social media in general, the negative effects on mental health may well be larger now.

Moreover, social media research tends to focus on young adults — an easier cohort to study than minors. That needs to change, Cunningham says. “Most of us are worried about our high school kids and younger.” 

And so, researchers must pivot accordingly. Crucially, simple comparisons of social media users and nonusers no longer make sense. As Orben and Przybylski’s 2022 work suggested, a teen not on social media might well feel worse than one who briefly logs on. 

Researchers must also dig into why, and under what circumstances, social media use can harm mental health, Cunningham says. Explanations for this link abound. For instance, social media is thought to crowd out other activities or increase people’s likelihood of comparing themselves unfavorably with others. But big data studies, with their reliance on existing surveys and statistical analyses, cannot address those deeper questions. “These kinds of papers, there’s nothing you can really ask … to find these plausible mechanisms,” Cunningham says.

One ongoing effort to understand social media use from this more nuanced vantage point is the SMART Schools project out of the University of Birmingham in England. Pedagogical expert Victoria Goodyear and her team are comparing mental and physical health outcomes among children who attend schools that have restricted cell phone use to those attending schools without such a policy. The researchers described the protocol of that study of 30 schools and over 1,000 students in the July BMJ Open.

Goodyear and colleagues are also combining that natural experiment with qualitative research. They met with 36 five-person focus groups each consisting of all students, all parents or all educators at six of those schools. The team hopes to learn how students use their phones during the day, how usage practices make students feel, and what the various parties think of restrictions on cell phone use during the school day.

Talking to teens and those in their orbit is the best way to get at the mechanisms by which social media influences well-being — for better or worse, Goodyear says. Moving beyond big data to this more personal approach, however, takes considerable time and effort. “Social media has increased in pace and momentum very, very quickly,” she says. “And research takes a long time to catch up with that process.”

Until that catch-up occurs, though, researchers cannot dole out much advice. “What guidance could we provide to young people, parents and schools to help maintain the positives of social media use?” Goodyear asks. “There’s not concrete evidence yet.”

More Stories from Science News on Science & Society

large eclipse glasses

Your last-minute guide to the 2024 total solar eclipse

A photograph of Oluwatoyin Asojo who's faintly smiling while standing in an empty white hallway by large panels of windows. She is wearing a dress with black, white, brown and red geometric patterns, black coat, black and brown knee-high boots, green scarf with patterns, and brown and orange necklace.

Protein whisperer Oluwatoyin Asojo fights neglected diseases

A chromolithograph of the sun during the total solar eclipse in 1878

How a 19th century astronomer can help you watch the total solar eclipse

impact of social media on students life research paper

Timbre can affect what harmony is music to our ears

An illustration of many happy people

Not all cultures value happiness over other aspects of well-being

Cady Coleman looks through a circular window on the ISS.

‘Space: The Longest Goodbye’ explores astronauts’ mental health

a nuclear intercontinental ballistic missile in a silo

‘Countdown’ takes stock of the U.S. nuclear weapons stockpile

Two abstract heads look at each other. One has a computer brain and the other has a real human brain.

Why large language models aren’t headed toward humanlike understanding

Subscribers, enter your e-mail address for full access to the Science News archives and digital editions.

Not a subscriber? Become one now .

IMAGES

  1. (PDF) SOCIAL MEDIA: ANALYSING ITS IMPACT ON STUDENT'S LIFE

    impact of social media on students life research paper

  2. Social media and its negative effects on society. Social Media and Its

    impact of social media on students life research paper

  3. (PDF) EFFECT OF SOCIAL MEDIA ON SENIOR SECONDARY SCHOOL STUDENTS

    impact of social media on students life research paper

  4. Effect Of Social Media On Student Life Essay

    impact of social media on students life research paper

  5. (PDF) The Impact of Social Media on Students' Academic Performance

    impact of social media on students life research paper

  6. ≫ Impact of Social Media on Quality of Life Free Essay Sample on

    impact of social media on students life research paper

VIDEO

  1. The Impact of social media on the academic performance of social science students at UWI T&T

  2. Social Media impact

  3. Social Media Impacts to Student Life

  4. Social media study by Rice University finds high levels of distraction among younger users

  5. Social Media Marketing

COMMENTS

  1. The effect of social media on the development of students' affective variables

    In recent years, several studies have been conducted to explore the potential effects of social media on students' affective traits, such as stress, anxiety, depression, and so on. The present paper reviews the findings of the exemplary published works of research to shed light on the positive and negative potential effects of the massive use ...

  2. THE IMPACT OF SOCIAL MEDIA ON STUDENTS' ACADEMIC

    It is conc luded that social media platforms has a significant impact on students' academic. performance in Malaysia tertiary institution. Nevertheless, among the six variables used in this ...

  3. (PDF) The Impact Of Social Media: A Survey

    The Impact Of Social Media: A Survey. Hafiz Burhan Ul Haq Hashmi, Haroon Ur Rashid Kayani, Saba Khalil Toor, Abdullah Mansoor, Abdul Raheem. Abstract: Social media has become the most popular way ...

  4. How social media use is related to student engagement and creativity

    2.1. Student use of social media. The tradition of social media in all walks of life has been increased rapidly in the recent years (Anser et al. Citation 2020; Rauniar et al. Citation 2014).Past researches revealed that social media is getting popular among students, and recent researchers have noted the considerable influence of social media utilisation in academia (Friesen and Lowe Citation ...

  5. PDF Understanding the impacts of social media platforms on students

    The impacts of social media on students' academic learning progress According to Gudelliwar et al. (2019), social media platforms enable teachers and students to ... Problem statement and research motivation Social media usage is increasing among students and youths, especially during and after crises, such as the COVID-19 pandemic outbreak. At ...

  6. IMPACT OF SOCIAL MEDIA ON THE LIVES OF STUDENTS

    A majority of respondents, 67.3%, either moderately agree or strongly agree that social media has a. positive impact on their mental health, while 6.6% strongly disagree with this notion. 4. A ...

  7. The effects of social media usage on attention, motivation, and

    For many young adults, accessing social media has become a normal part of their daily lives (Park and Lee, 2014).As of 2015, 90% of young adults regularly used social media sites such as Facebook, Instagram, and Twitter (Perrin, 2015).Researchers estimate that university students spend about 8-10 hours per day browsing, liking posts, and posting on social media sites ().

  8. [PDF] The Impact of Social Media on Student Academic Life in Higher

    The Impact of Social Media on Student Academic Life in Higher Education. Raymond Boateng, A. Amankwaa. Published 21 May 2016. Education. Global Journal of Human-Social Science Research. Social media is rapidly changing the communication setting of today’s social world. The emergent of social media is significantly influencing the ...

  9. Measuring the effect of social media on student academic ...

    Humans are social beings and socializing is part of our lives. Digital 2021 Global Overview Report released by DataReportal places the global social media population at 4.3 billion, which is around 53% of the world's population (Simon, 2021a, p8).In Ghana the situation is not any different, 50% of the population uses internet and 26.1% are active on social media (Simon, 2021b, p17).

  10. Social media usage: Analyzing its effect on academic performance and

    This research work seeks to determine the effects of social media—both good and bad—on students' academic achievement and student engagement on social media sites. It specifically aimed to respond to these questions: 1. This study discusses how social media helps students of higher education. 2.

  11. Analysing the Impact of Social Media on Students' Academic ...

    Past research by Choney (), Karpinski and Duberstein (), Khan and Kubey et al. was done mostly in developed countries to analyse the impact of social media on the students' academic performance, effect of social media on adolescence, and addictiveness of social media in students.There are no published research studies where the impact of social media was studied on students' academic ...

  12. Undergraduate Students' Perception of Social Media Use: Opportunities

    Ian Phil Canlas is currently an assistant professor of science at the School of Arts and Sciences of the University of Central Asia-Naryn Campus in the Kyrgyz Republic and a visiting faculty member at the School of Graduate Studies of Biliran Province State University, Naval, Biliran Province, Philippines. His research interests include science education and education for sustainable ...

  13. Effect of social media use on learning, social interactions, and sleep

    Because many students are addicted to social media and use such platforms for nonacademic purposes, it is important to determine the negative effects of social media use. In the present study it was observed that student go to late night sleep, they are deprived of good sleep duration as the college starts at 8 for about 93% of the students ...

  14. The impact of social media on students' social interaction

    Abstract and Figures. This study aimed to discover the impact of social media platforms on students' social interaction. Students' interaction with other people allows them to analyse their ...

  15. Social Media Addiction and Its Impact on College Students' Academic

    Social media use can bring negative effects to college students, such as social media addiction (SMA) and decline in academic performance. SMA may increase the perceived stress level of college students, and stress has a negative impact on academic performance, but this potential mediating role of stress has not been verified in existing studies. In this paper, a research model was developed ...

  16. PDF The impact of social media on students' lives

    at LAB University of Applied Sciences. To set further limits, instead of student life, this the-sis will research the impact on academic performance. For instance, some positive im-pacts of social media are the effects on e-learning, building of confidence in learning, and saving time.

  17. Impact of Social Media Use In College Students

    Abstract. Social media has become extremely prevalent in recent years with effortless access and easy availability to mobile smartphones. The aim of this paper is to examine students' perceived ...

  18. Social media harms teens' mental health, mounting evidence shows. What now?

    The concern, and the studies, come from statistics showing that social media use in teens ages 13 to 17 is now almost ubiquitous. Two-thirds of teens report using TikTok, and some 60 percent of ...

  19. Teens are spending nearly 5 hours daily on social media. Here are the

    41%. Percentage of teens with the highest social media use who rate their overall mental health as poor or very poor, compared with 23% of those with the lowest use. For example, 10% of the highest use group expressed suicidal intent or self-harm in the past 12 months compared with 5% of the lowest use group, and 17% of the highest users expressed poor body image compared with 6% of the lowest ...

  20. The Impact of Social Media on Students' Academic Performance

    Prior studies have found positive effects [2,3,22] as well as negat ive effects [1,8] of social media on students' acade mic performance. Further, use of social media increases collaborative ...