The DOI matches its Crossref record; 166 of the 170 references it cites were found in a registry or an index.
Transformation of Adolescent Peer Relations in the Social Media Context: Part 2—Application to Peer Group Processes and Future Directions for Research
Open accessAbstract
As social media use becomes increasingly widespread among adolescents, research in this area has accumulated rapidly. Researchers have shown a growing interest in the impact of social media on adolescents' peer experiences, including the ways that the social media context shapes a variety of peer relations constructs. This paper represents Part 2 of a two-part theoretical review. In this review, we offer a new model for understanding the transformative role of social media in adolescents' peer experiences, with the goal of stimulating future empirical work that is grounded in theory. The transformation framework suggests that the features of the social media context transform adolescents' peer experiences by changing their frequency or immediacy, amplifying demands, altering their qualitative nature, and/or offering new opportunities for compensatory or novel behaviors. In the current paper, we consider the ways that social media may transform peer relations constructs that often occur at the group level. Our review focuses on three key constructs: peer victimization, peer status, and peer influence. We selectively review and highlight existing evidence for the transformation of these domains through social media. In addition, we discuss methodological considerations and key conceptual principles for future work. The current framework offers a new theoretical perspective through which peer relations researchers may consider adolescent social media use.
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 cited source says what the claim attributes to it.
In the citing paper
“The publicness, permanence, availability, visualness, and cue absence of digital contexts allow for unique opportunities to bully and intimidate others (Nesi et al., 2018b).”
From Technologizing Bronfenbrenner: Neo-ecological Theory. (2023) · cites this paper as Nesi et al., 2018b
The cited source says what the claim attributes to it.
In the citing paper
“In our theoretical transformation framework, Nesi et al., (2018a, 2018b) synthesize and build on affordances identified in prior literature to describe seven features of social media: visualness, quantifiability, availability, publicness, permanence, asynchronicity, and cue absence (Nesi et al., 2018a, 2018b) .”
From The Perfect Storm: A Developmental-Sociocultural Framework for the Role of Social Media in Adolescent Girls' Body Image Concerns and Mental Health. (2022) · cites this paper as Nesi et al., 2018b
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
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
Bullying at school: what we know and what we can do
(1994) · Choice Reviews Online · doi:10.5860/choice.32-1080 · Cited by 4,755
I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience
Marwick, A. E., & boyd, D. (2011) · New Media & Society · doi:10.1177/1461444810365313 · Cited by 4,612
The online disinhibition effect
Suler, J. (2004) · CyberPsychology & Behavior · doi:10.1089/1094931041291295 · Cited by 4,375
Motivational, emotional, and behavioral correlates of fear of missing out
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.02.014 · Cited by 3,932
The Journal of the American Academy of Psychiatry and the Law.
(2021) · PubMed · doi:10.29158/jaapl.210028-20 · Cited by 3,854
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
Cyberbullying: Its nature and impact in secondary school pupils
Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., & Tippett, N. (2008) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2007.01846.x · Cited by 3,639
The social psychology of telecommunications
Gray, G. (1977) · Telecommunications Policy · doi:10.1016/0308-5961(77)90016-7 · Cited by 3,486
Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014) · Psychological Bulletin · doi:10.1037/a0035618 · Cited by 3,266
Research works printed but not linked: 2
- Marwick, A., & boyd, d. (2011a). The drama! Teen conflict, gossip, and bullying in networked publics. In A Decade in Internet time: Symposium on the dynamics of the internet and society, Oxford, UK.
- Moreno, M., & Kota, R. (2013). Social media. In V. C. Strasburger, B. Wilson, & A. B. (Beth) Jordan (Eds.), Children, adolescents, and the media (3rd ed.). SAGE Publications, Inc. Retrieved from https://nls.ldls.org.uk/welcome.html?ark:/81055/vdc_100025421490.0x000001 . Accessed 27 May 2015.
Cited by
Sorted by citations
Social media use and risky behaviors in adolescents: A meta-analysis
Vannucci, A., Simpson, E. G., Gagnon, S., & Ohannessian, C. M. (2020) · Journal of Adolescence · doi:10.1016/j.adolescence.2020.01.014 · Cited by 410
Choukas-Bradley, S., Roberts, S. R., Maheux, A. J., & Nesi, J. (2021) · doi:10.31234/osf.io/ju92a · Cited by 331
Self-citationChoukas-Bradley, S., Roberts, S. R., Maheux, A. J., & Nesi, J. (2022) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-022-00404-5 · Cited by 333
Self-citationTechnologizing Bronfenbrenner: Neo-ecological Theory.
Navarro, J. L., & Tudge, J. R. H. (2023) · Current Psychology · doi:10.1007/s12144-022-02738-3 · Cited by 325
Peer Influence in Adolescence: Public-Health Implications for COVID-19
Andrews, J. L., Foulkes, L., & Blakemore, S.-J. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.05.001 · Cited by 291
Metadata
- Authors
- Nesi, J., Choukas-Bradley, S., & Prinstein, M. J.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Nesi, Jacqueline
- Venue
- Clinical Child and Family Psychology Review
- Published
- 2018-04-07
- Volume
- 21
- Issue
- 3
- Pages
- 295-319
- ISSN
- 1096-4037 (ISSN-L)
- 1573-2827
- PMC
- PMC6402323
- OpenAlex
- W2796205913
- Cited by
- 266
- References
- 170
- Citations by year
- 2026: 41 · 2025: 29 · 2024: 56 · 2023: 32 · 2022: 34 · 2021: 34 · 2020: 28 · 2019: 10 · 2018: 2
- FWCI
- 6.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Child and Family Psychology Review (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (DGE-1144081)
- National Institute of Mental Health (R01-MH85505)
- National Institute of Child Health and Human Development (R01-HD055342)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- social media use, peer victimization, peer status, peer influence, transformation framework, theoretical model, methodological considerations
- MeSH terms
- Adolescent, Adolescent Behavior, Group Processes, Humans, Interpersonal Relations, Peer Group, Friends, 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
