The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Depressed adolescents’ positive and negative use of social media.
Open accessAbstract
This qualitative study examined descriptions of social media use among 23 adolescents (18 female, 5 male) who were diagnosed with depression to explore how social media use may influence and be influenced by psychological distress. Adolescents described both positive and negative use of social media. Positive use included searching for positive content (i.e. for entertainment, humor, content creation) or for social connection. Negative use included sharing risky behaviors, cyberbullying, and for making self‐denigrating comparisons with others. Adolescents described three types of use in further detail including “oversharing” (sharing updates at a high frequency or too much personal information), “stressed posting” (sharing negative updates with a social network), and encountering “triggering posts.” In the context of treatment, these adolescents shifted their social media use patterns from what they perceived as negative to more positive use. Implications for clinicians counseling depressed adolescents on social media use are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“After all, adolescents often seek positive content on social media, such as humorous posts or memes32.”
From The effect of social media on well-being differs from adolescent to adolescent (2020) · cites this paper as [32]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“These symptoms may alter their social media interaction and its impact on their mental health.36,46,47”
From Social Media Use and Internalizing Symptoms in Clinical and Community Adolescent Samples: A Systematic Review and Meta-Analysis (2024) · cites this paper as [46]
In the citing paper
“The use of social media as a means to increase self-esteem may, on the contrary, cause their self-esteem to decrease due to CBP (Patchin and Hinduja 2010; Radovic et al. 2015).”
From Problematic online behaviors among adolescents and emerging adults: associations between cyberbullying perpetration, problematic social media use, and psychosocial factors (2019) · cites this paper as Radovic et al. 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Qualitative research & evaluation methods
Patton, M. Q. (2002) · Sage eBooks · Cited by 15,530
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
Experimental evidence of massive-scale emotional contagion through social networks
Kramer, A. D. I., Guillory, J. E., & Hancock, J. T. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320040111 · Cited by 3,687
Writing About Emotional Experiences as a Therapeutic Process
Pennebaker, J. W. (1997) · Psychological Science · doi:10.1111/j.1467-9280.1997.tb00403.x · Cited by 2,486
Self-disclosure and liking: A meta-analytic review
Collins, N. L., & Miller, L. C. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.116.3.457 · Cited by 1,621
Friend networking sites and their relationship to adolescents’ well-being and social self-esteem
Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.584 · Cited by 1,531
Relationship formation on the Internet: What’s the big attraction?
McKenna, K. Y. A., Green, A. S., & Gleason, M. E. J. (2002) · Journal of Social Issues · doi:10.1111/1540-4560.00246 · Cited by 1,454
Qualitative Content Analysis: A Guide to Paths not Taken
Morgan, D. L. (1993) · Qualitative Health Research · doi:10.1177/104973239300300107 · Cited by 1,269
Chou, H.-T. G., & Edge, N. (2012) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2011.0324 · Cited by 1,166
Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016) · Depression and Anxiety · doi:10.1002/da.22466 · Cited by 1,111
Self-citation
Research works printed but not linked: 1
- Lenhart A., 2015, Pew research center
Cited by
Sorted by citations
Items 301–348 of 348
Yang, K., & Sun, Y. (2024) · Critical Studies in Media Communication · doi:10.1080/15295036.2024.2312278
Zdravje in dobro počutje študentov
Ferjan, M. B., Buzeti, J., Stare, J., & Mar, Š. (2024) · doi:10.18690/um.fov.3.2024.8
Szymkowiak, A., Nurse, J. R. C., Brauner, P., Ziefle, M., & Shepherd, L. A. (2024) · Frontiers research topics · doi:10.3389/978-2-8325-4819-6
Social Media: A Harsher Reality for Adolescents with DepressionPreprint
Janssen, L. H. C., Valkenburg, P. M., Keijsers, L., & Beyens, I. (2024) · doi:10.31234/osf.io/mtez3
Koenig, S. (2025) · Clinical social work journal · doi:10.1007/s10615-025-00989-8
Social Media and Clinical Practice: What Stays the Same, What Changes, and How to Plan Ahead?
Hilty, D. M., Myint, M. T., Strauss, K. C., Hoffman, P. E., & Stubbe, D. E. (2024) · Springer eBooks · doi:10.1007/978-3-031-59936-1_11
Data Mining Trauma: An AI-Assisted Qualitative Study of Cyber Victimization on Reddit (Preprint)Preprint
Antisdel, J., Miller, W. R., & Groves, D. J. (2025) · doi:10.2196/preprints.75493
STRATEGIES FOR CONSECUTIVE INTERPRETING IN JOKO WIDODO'S ASEAN BUSINESS AND INVESTMENT FORUM SPEECH
Lestari, O. V. D., & Budiman, R. A. (2024) · Acceleration · doi:10.70210/amrj.v2i03.79
Albuero, J. M., Oreta, M. C., Espiritu, M., & Alfarero, R. (2025) · Psychology and Education A Multidisciplinary Journal · doi:10.70838/pemj.380110
Comparing European Emerging Adults Online Romantic Relationships: A Short Longitudinal Study
Bruno, L., Pasikowski, S., Cuéllar, A. I., Annese, S., & Ligorio, M. B. (2025) · Human Arenas · doi:10.1007/s42087-025-00505-x · Cited by 1
Internet Use Amongst Young People and Its Influence on Mental Health
Harlow, E., Hales, L., McMillan, I., & Trainor, G. (2025) · Springer eBooks · doi:10.1007/978-3-031-84532-1_13
THE IMPACT OF SOCIAL MEDIA ON STUDENTS' MENTAL AND OVERALL WELLBEING
Hasan, M. T., & Akter, T. (2025) · International Journal of Advances in Business and Management Research · doi:10.62674/ijabmr.2025.v2i04.004
The Relationship Between Digital Device Addiction and Anxiety and Depression in Early Adolescents
Çiydem, E., Avcı, D., & Kılıç, M. (2025) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20250707-03 · Cited by 2
DeLorenzo, B. M., Knapp, K., Hareli, M., Silton, R. L., & Conley, C. S. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5375755
Empat cara agar menggunakan media sosial menjadi pengalaman positif
Tang, L., & Nishi, S. K. (2021) · doi:10.64628/aan.9gf4ku7nh
4 ways to have a positive experience when engaging with social media
Tang, L., & Nishi, S. K. (2021) · doi:10.64628/aam.hhatq5ax3
Are public social interactions on Twitter associated with mental health outcomes?
Joinson, D., Simpson, E., Haworth, C. M. A., Cristianini, N., Cara, N. H. D., & Davis, O. S. P. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100874
RetractedWu, H. T., Li, J., & Tsurumi, A. (2024) · Figshare · doi:10.6084/m9.figshare.26667421
Mertens, L., Brockmeier, L. C., Roitzheim, C., Radtke, T., Dingler, T., & Keller, J. (2025) · JMIR mhealth and uhealth · doi:10.2196/56824 · Cited by 3
Sosyal Medya Bağımlılığının, Duygu Yönetme Becerisi ve Sosyal Zekâ Açısından İncelenmesi
DURAN, E., Arslan, C., & Traş, Z. (2025) · Türk Eğitim Bilimleri Dergisi · doi:10.37217/tebd.1637502
THE IMPACT OF THE TIKTOK APP ON THE MENTAL HEALTH OF YOUNG USERS
Ziemba, M., Ziemba, A., Giedzicz, K., Kulgawczuk, R., Zackiewicz, K., Wińska, A., Sędziak, O., Pietruszewska, H., Ogorek, A., & Czerepak, I. (2025) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.4(48).2025.4318
Oldeman, M. G., de Looper, M., Smit, E. S., van Reijmersdal, E. A., & de Castro, B. O. (2026) · Journal of Adolescent Research · doi:10.1177/07435584261415913
Hynes, K., & Banks, B. M. (2026) · Race and Social Problems · doi:10.1007/s12552-026-09500-5
Tierney, A. O., McKone, K. M. P., & Sequeira, S. L. (2026) · Brain and Environment · doi:10.1016/j.braen.2026.100017
Uses of social media and needs gratification of University students in Pakistan
Khan, B. Y. (2020) · theses.fr (ABES) · doi:10.70675/b17fa7a2z148az4ab2z93e2ze4e1fda935e5
Nurturing Social Media Practices for the Mental Wellbeing of Gen Z
Chauhan, N., & Mohan, R. (2026) · Studies in systems, decision and control · doi:10.1007/978-3-032-04378-8_91
Mechanisms of social media influence on addictive behavior of youth
Bogićević, D., & Popović-Ćitić, B. (2025) · CM Communication and Media · doi:10.5937/cm20-53805
Competency-Based Training for Young Men with Suicide Risk: A Randomized Waitlist-Controlled Trial
Law, Y. W., Wong, M. T., & Chiang, B. (2026) · Research on Social Work Practice · doi:10.1177/10497315261441540
Sutcliffe, S., Jones, C. A., Talbot, C. V., & Tibber, M. S. (2026) · Emerging Adulthood · doi:10.1177/21676968261446343
The Comprehensive Assessment of Social Media Use: Development and Validation Study
Lowry, N. J., Gebert, R. R., Rogers, Z., Cha, C., & Jacobson, C. M. (2026) · JMIR Formative Research · doi:10.2196/87599
Kantar, A., Dik, G., & Yaşar, İ. (2026) · Gender Issues · doi:10.1007/s12147-026-09413-y
Salerno, A. E., Hyzer, R. H., Jenkins, M., & Moreno, M. A. (2026) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2026.03.004
Fotiou, A., Kanavou, E., Stavrou, M., Christopoulou, M., Voitsidis, P., Lappa, M., Richardson, C., & Kokkevi, A. (2026) · Europe’s Journal of Psychology · doi:10.5964/ejop.16907
Digitale Medien zwischen Risiko und Ressource
Peinemann, K., & Peinemann, M. (2026) · merz | medien + erziehung · doi:10.21240/merz/2026.3.31
Balancing online and offline worlds: leisure contexts and Positive Youth Development in adolescence
Weichold, K., Endler, P., Fehmer, N., & Mahama, S. (2026) · European Journal of Developmental Psychology · doi:10.1080/17405629.2026.2693482
Wanting more: adolescents' expectations for social media responses from peers
Bowman-Smith, C. K., & Nilsen, E. S. (2026) · Frontiers in Developmental Psychology · doi:10.3389/fdpys.2026.1796593
Breaking Free from the Digital World: The Experiences of Young Adults in Social Media Detox
Mendoza, F. L. (2026) · Philippine Journal of Interdisciplinary Research · doi:10.67730/az4tb174
Dalack, M. N., & Hamilton, J. L. (2026) · Frontiers in Developmental Psychology · doi:10.3389/fdpys.2026.1831952
Stone, B. G., Saggers, B. R., van Leent, L., Yates, C., & Aberdein, R. (2026) · Journal of Research in Special Educational Needs · doi:10.1111/1471-3802.70149
Behind the screen: Social media use and internalizing problems in adolescents
Berges, L., Ravensbergen, S. J., So, P., Hoogendijk, W. J. G., Bouter, D. C., & Mil, N. H. G.-V. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122341 · Cited by 1
Burnell, K., Carranza, A. F., Garrett, S. L., Prinstein, M. J., & Telzer, E. H. (2026) · Journal of Adolescence · doi:10.1002/jad.70252
Wang, H., Zhuang, L., Zhang, X., Yu, T., Liu, T., & Yang, X. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1922137
Gümüş, E. Ç. (2026) · Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · doi:10.18863/pgy.2019434
Mayer, G., Tschobur, N., Michael, A., Floris, F., Lesnierowska, M., Maciejewski, J., Pietrzak, M., Smoktunowicz, E., McKendrick, M., Stocks, H., et al. (2026) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-026-03216-y
Das, R. D., & Chatterjee, R. S. (2026) · Results in Earth Sciences · doi:10.1016/j.rines.2026.100184
Metadata
- Authors
- Radovic, A., Gmelin, T., Stein, B. D., & Miller, E.
- Affiliations
- Children's Hospital of Pittsburgh of UPMC Division of Adolescent and Young Adult Medicine Oakland Medical Building, 3420 Fifth Avenue Pittsburgh PA 15213 United States
- University of Pittsburgh (US)
- RAND Corporation (US)
- Venue
- Journal of Adolescence
- Publisher
- Wiley
- Published
- 2016-12-18
- Volume
- 55
- Issue
- 1
- Pages
- 5-15
- ISSN
- 0140-1971 (ISSN-L)
- 1095-9254
- PMC
- PMC5485251
- OpenAlex
- W2566587171
- Semantic Scholar
- 1c8514a1fc81106e03f07bf026329f0f171e89e9
- Cited by
- 350
- References
- 52
- Citations by year
- 2026: 25 · 2025: 37 · 2024: 40 · 2023: 43 · 2022: 64 · 2021: 41 · 2020: 39 · 2019: 35 · 2018: 20 · 2017: 5 · 2016: 1
- FWCI
- 58.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Journal of Adolescence (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Agency for Healthcare Research and Quality (K12HS022989, T32 HS019486‐01)
- Healthcare Research and Quality (K12HS022989, T32 HS019486-01)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Clinical Psychology › Body Image and Dysmorphia Studies
- Keywords
- adolescent depression, social media use, cyberbullying, self-comparison, oversharing, psychological distress, social connectedness, content creation, depression treatment
- MeSH terms
- Adolescent, Adolescent Behavior, Depression, Female, Humans, Interviews as Topic, Male, Risk-Taking, Stress, Psychological, Qualitative Research, Bullying, Social Media
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