Lucky ones, socialites, bystanders, and sufferers: Using the Mental-Effort-Gratification Model to understand mental health effects of social media
Open accessAbstract
Many studies connect social media use to mental health outcomes, yet results are mixed. The question therefore is why some users are affected in a negative way, while others are not affected or even benefit from social media use. In this article, I will argue that in order to better understand the phenomenon we need to consider exchange processes between users and their digital environments, i.e., the (1) mental effort users put into media use, the (2) gratification they derive from it, and the (3) relationship between the two. Hence, I will introduce mental effort as well as the Uses and Gratifications Approach, and show how in the Mental-Effort-Gratification Model (MEG) the interactions between high and low levels of effort and gratification affect user mental health. I will therefore introduce four prototypical groups of users – lucky ones, socialites, bystanders, and sufferers – and discuss the mental health risks associated with these groups. Finally, I will depict some implications of the MEG for research and practice. The goals of this article are to develop a theoretical approach that can help researchers to better understand the different effects that social media have on different groups of users and to contribute to a theoretical foundation for the development, application, and evaluation of measures and interventions that improve public mental health.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Contradictory results may derive from lack of consistency across investigated outcomes or study groups.
“Such contradictory results may derive from the lack of consistency across investigated outcomes [57, 58] or study groups [59].”
From Scrolling through adolescence: a systematic review of the impact of TikTok on adolescent mental health (2025) · cites this paper as [59]
Adolescents fitting into the sufferer category of the mental effort-gratification model are probably more susceptible to social acceptance and may represent an "endophenotype" at risk for experiencing more adverse mental health outcomes.
“Adolescents fitting into the sufferer category are probably more susceptible to social acceptance and may represent an “endophenotype” at risk for experiencing more adverse mental health outcomes.”
From Scrolling through adolescence: a systematic review of the impact of TikTok on adolescent mental health (2025) · cites this paper as [59]
Cites
Keles, B., McCrae, N., & Grealish, A. (2020) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2019.1590851 · Cited by 1,909 · see citing works
Woods, H. C., & Scott, H. (2016) · Journal of Adolescence · doi:10.1016/j.adolescence.2016.05.008 · Cited by 1,302 · see citing works
Uses and gratifications of social media: A comparison of Facebook and instant messaging
Quan-Haase, A., & Young, A. L. (2010) · Bulletin of Science, Technology & Society · doi:10.1177/0270467610380009 · Cited by 1,205 · see citing works
Online communication, social media and adolescent wellbeing: A systematic narrative review
Best, P., Manktelow, R., & Taylor, B. (2014) · Children and Youth Services Review · doi:10.1016/j.childyouth.2014.03.001 · Cited by 1,067 · see citing works
Seidman, G. (2013) · Personality and Individual Differences · doi:10.1016/j.paid.2012.10.009 · Cited by 920 · see citing works
Social media use and its impact on adolescent mental health: An umbrella review of the evidence.
Valkenburg, P. M., Meier, A., & Beyens, I. (2022) · Current opinion in psychology · doi:10.1016/j.copsyc.2021.08.017 · Cited by 767 · see citing works
Social Networking Sites, Depression, and Anxiety: A Systematic Review
Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016) · JMIR Mental Health · doi:10.2196/mental.5842 · Cited by 763 · see citing works
Social media use and adolescent mental health: Findings from the UK Millennium Cohort Study
Kelly, Y., Zilanawala, A., Booker, C., & Sacker, A. (2018) · EClinicalMedicine · doi:10.1016/j.eclinm.2018.12.005 · Cited by 740 · see citing works
Does time spent using social media impact mental health?: An eight year longitudinal study
Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L., & Booth, M. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106160 · Cited by 701 · see citing works
Marino, C., Gini, G., Vieno, A., & Spada, M. M. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.10.007 · Cited by 658 · see citing works
Audience Activity and Soap Opera Involvement A Uses and Effects Investigation
RUBIN, A. M., & Perse, E. M. (1987) · Human Communication Research · doi:10.1111/j.1468-2958.1987.tb00129.x · Cited by 638 · see citing works
Social media use and anxiety in emerging adults
Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.040 · Cited by 623 · see citing works
Kircaburun, K., Alhabash, S., Tosuntaş, Ş. B., & Griffiths, M. D. (2020) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-018-9940-6 · Cited by 594 · see citing works
Social media use and mental health among young adults
Berryman, C., Ferguson, C. J., & Negy, C. (2018) · Psychiatric Quarterly · doi:10.1007/s11126-017-9535-6 · Cited by 484 · see citing works
Adolescent social media use and mental health from adolescent and parent perspectives
Barry, C. T., Sidoti, C. L., Briggs, S. M., Reiter, S. R., & Lindsey, R. A. (2017) · Journal of Adolescence · doi:10.1016/j.adolescence.2017.08.005 · Cited by 473 · see citing works
A meta-analysis of the problematic social media use and mental health
Huang, C. (2022) · International Journal of Social Psychiatry · doi:10.1177/0020764020978434 · Cited by 399 · see citing works
Dempsey, A. E., O'Brien, K. D., Tiamiyu, M. F., & Elhai, J. D. (2019) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2018.100150 · Cited by 376 · see citing works
Self-disclosure and social media: Motivations, mechanisms and psychological well-being
Luo, M., & Hancock, J. T. (2020) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.08.019 · Cited by 374 · see citing works
A meta-analysis of the association between adolescent social media use and depressive symptoms
Ivie, E. J., Pettitt, A., Moses, L. J., & Allen, N. B. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.06.014 · Cited by 358 · see citing works
Is social network site usage related to depression? A meta-analysis of Facebook–depression relations
Yoon, S., Kleinman, M., Mertz, J., & Brannick, M. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.01.026 · Cited by 355 · see citing works
Social media and depression symptoms: a meta-analysis
Cunningham, S., Hudson, C. C., & Harkness, K. (2021) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-020-00715-7 · Cited by 308 · see citing works
Zhang, R.-W. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.05.043 · Cited by 298 · see citing works
Social media use and mental health and well-being among adolescents: a scoping review
Schønning, V., Hjetland, G. J., Aarø, L. E., & Skogen, J. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01949 · Cited by 288 · see citing works
One size doesn’t fit all: a uses and gratifications analysis of social media platforms
Pelletier, M. J., Krallman, A., Adams, F. G., & Hancock, T. D. (2020) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-10-2019-0159 · Cited by 224 · see citing works
MySpace and Facebook: Identifying Dimensions of Uses and Gratifications for Friend Networking Sites
Bonds‐Raacke, J. M., & Raacke, J. D. (2010) · Individual Differences Research · doi:10.65030/idr.08004 · Cited by 210 · see citing works
Facebook as a source of social connectedness in older adults
Sinclair, T. J., & Grieve, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.10.003 · Cited by 190 · see citing works
Chen, H.-T., & Kim, Y. (2013) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2011.0608 · Cited by 169 · see citing works
Social Media Use, School Connectedness, and Academic Performance Among Adolescents
Sampasa‐Kanyinga, H., Chaput, J., & Hamilton, H. A. (2019) · The Journal of Primary Prevention · doi:10.1007/s10935-019-00543-6 · Cited by 123 · see citing works
Wang, W., Wang, M., Hu, Q., Wang, P., Lei, L., & Jiang, S. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.03.173 · Cited by 105 · see citing works
The effects of social media usage on attention, motivation, and academic performance
Barton, B. A., Adams, K. S., Browne, B. L., & Arrastia-Chisholm, M. C. (2021) · Active Learning in Higher Education · doi:10.1177/1469787418782817 · Cited by 97 · see citing works
Xie, W., & Karan, K. (2019) · Journal of Behavioral Addictions · doi:10.1556/2006.8.2019.09 · Cited by 89 · see citing works
Grundlagen und theoretische Perspektiven
Bonfadelli, H. (2004) · UVK eBooks · Cited by 83 · see citing works
Social media and eating disorder psychopathology: A systematic review
Padín, P. F., Rodríguez, R. G., Diego, C. V., & Vázquez-Pérez, R. (2021) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2021-3-6 · Cited by 79 · see citing works
Talk show radio as interpersonal communication
Turow, J. (1974) · Journal of Broadcasting · doi:10.1080/08838157409363732 · Cited by 75 · see citing works
Applying the Uses and Gratifications Model to Examine Consequences of Social Media Addiction
Ferris, A. L., Hollenbaugh, E. E., & Sommer, P. A. (2021) · Social Media + Society · doi:10.1177/20563051211019003 · Cited by 75 · see citing works
Social media and professional development: a systematic review
Bruguera, C., Catasús, M. G., & Fontanillas, T. R. (2019) · Research in Learning Technology · doi:10.25304/rlt.v27.2286 · Cited by 69 · see citing works
Impact of social media use on student satisfaction in Higher Education
Rahman, S., Ramakrishnan, T., & Ngamassi, L. (2019) · Higher Education Quarterly · doi:10.1111/hequ.12228 · Cited by 65 · see citing works
Development and validation of the motivations for social media use scale (MSMU) among adolescents
Rodgers, R. F., Mclean, S. A., Gordon, C. S., Slater, A., Marques, M. D., Jarman, H. K., & Paxton, S. J. (2021) · Adolescent Research Review · doi:10.1007/s40894-020-00139-w · Cited by 64 · see citing works
Perugini, M. L. L., & Solano, A. C. (2020) · Psychological Reports · doi:10.1177/0033294120922495 · Cited by 56 · see citing works
Taking a Break from Social Media Improves Wellbeing Through Sleep Quality
Graham, S., Mason, A., Riordan, B. C., Winter, T. J., & Scarf, D. (2021) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2020.0217 · Cited by 53 · see citing works
Campbell, R., Vansteenkiste, M., Delesie, L. M., Soenens, B., Tobback, E., Vogelaers, D., & Mariman, A. (2016) · Journal of Health Psychology · doi:10.1177/1359105316678305 · Cited by 50 · see citing works
Wang, Y., Matz-Costa, C. J., Miller, J. B., Carr, D. C., & Kohlbacher, F. (2018) · Innovation in Aging · doi:10.1093/geroni/igy027 · Cited by 35 · see citing works
Dhir, A., Chen, S., & Nieminen, M. (2015) · Social Science Computer Review · doi:10.1177/0894439315582854 · Cited by 29 · see citing works
Perceptions of mental health and need satisfaction/frustration among rural university students
Dasinger, T., & Gibson, D. (2022) · Journal of American College Health · doi:10.1080/07448481.2022.2032089 · Cited by 24 · see citing works
The bright side of social network sites: On the potential of online social capital for mental health
Hussenoeder, F. S. (2022) · Digital Health · doi:10.1177/20552076221093133 · Cited by 24 · see citing works
Self-citationAhmed, O., Sultana, T., Alam, N., Griffiths, M. D., & Hiramoni, F. A. (2022) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-021-00235-1 · Cited by 21 · see citing works
Hussenoeder, F. S., Conrad, I., Riedel-Heller, S. G., & Rodriguez, F. S. (2020) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000001833 · Cited by 8 · see citing works
Self-citationNewspaper Use and Gratification in Hawaii
Blood, R. W., Keir, G. J., & Kang, N. (1983) · Newspaper Research Journal · doi:10.1177/073953298300400405 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Conte, G., Iorio, G. D., Esposito, D., Romano, S., Panvino, F., Maggi, S., Altomonte, B., Casini, M. P., Ferrara, M., & Terrinoni, A. (2025) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-024-02581-w · Cited by 84 · see citing works
- Authors
- Hussenoeder, F. S.
- Affiliations
- Leipzig University (DE)
- Corresponding author
- Hussenoeder, Felix S.
- Venue
- Computers in Human Behavior Reports
- Publisher
- Elsevier BV
- Published
- 2023-03
- Volume
- 9
- Pages
- 100260
- ISSN
- 2451-9588 (ISSN-L)
- OpenAlex
- W4311424328
- Cited by
- 6
- References
- 49
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 1
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers in Human Behavior Reports (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- social media use, mental health, cognitive effort, gratification, user typology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review