Cyberbullying perpetration and victimization among middle-school students
Open accessAbstract
OBJECTIVES: We examined correlations between gender, race, sexual identity, and technology use, and patterns of cyberbullying experiences and behaviors among middle-school students. METHODS: We collected a probability sample of 1285 students alongside the 2012 Youth Risk Behavior Survey in Los Angeles Unified School District middle schools. We used logistic regressions to assess the correlates of being a cyberbully perpetrator, victim, and perpetrator-victim (i.e., bidirectional cyberbullying behavior). RESULTS: In this sample, 6.6% reported being a cyberbully victim, 5.0% reported being a perpetrator, and 4.3% reported being a perpetrator-victim. Cyberbullying behavior frequently occurred on Facebook or via text messaging. Cyberbully perpetrators, victims, and perpetrators-victims all were more likely to report using the Internet for at least 3 hours per day. Sexual-minority students and students who texted at least 50 times per day were more likely to report cyberbullying victimization. Girls were more likely to report being perpetrators-victims. CONCLUSIONS: Cyberbullying interventions should account for gender and sexual identity, as well as the possible benefits of educational interventions for intensive Internet users and frequent texters.
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Cyberbullying and online victimization has become a public health concern.
“Relatedly, cyberbullying and online victimization has become a public health concern [18]”
From Two social lives: how differences between online and offline interaction influence social outcomes (2020) · cites this paper as [18]
More frequent daily on-line activity, as testified to by Smartphone and Internet usage, increased the likelihood of performing cyberbullying acts.
“Indeed, more frequent daily on-line activity, as testified to by Smartphone and Internet usage, increased the likelihood of performing cyberbullying acts (for similar results, see Mishna et al., 2012;Rice et al., 2015).”
From Cyberbullying through the lens of social influence: Predicting cyberbullying perpetration from perceived peer-norm, cyberspace regulations and ingroup processes (2020) · cites this paper as Rice et al., 2015
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- Authors
- Rice, E., Petering, R., Rhoades, H., Winetrobe, H., Goldbach, J., Plant, A., Montoya, J., & Kordic, T.
- Affiliations
- University of Southern California (US)
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2015-03
- Volume
- 105
- Issue
- 3
- Pages
- e66-e72
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- PMC
- PMC4330864
- OpenAlex
- W2031126038
- Cited by
- 180
- References
- 23
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 12 · 2023: 13 · 2022: 21 · 2021: 15 · 2020: 25 · 2019: 22 · 2018: 24 · 2017: 12 · 2016: 11 · 2015: 5
- FWCI
- 28.35
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Public Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- University of Southern California
- National Center for Chronic Disease Prevention and Health Promotion (5U87DP001201-04, U87 DP001201)
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Keywords
- cyberbullying, cyberbullying perpetration, cyber victimization, junior high school students, sexual minority students, gender differences, race, sexual identity, technology use, internet use, Facebook, youth risk behavior
- MeSH terms
- Adolescent, Child, Female, Gender Identity, Humans, Male, Risk-Taking, Sexual Behavior, Students, Los Angeles, Logistic Models, Sex Distribution, Electronic Mail, Bullying, Text Messaging, Social Media
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