A meta-analysis of factors predicting cyberbullying perpetration and victimization: From the social cognitive and media effects approach

Liang Chen*, Shirley S. Ho, May O. Lwin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

273 Citations (Scopus)

Abstract

Cyberbullying has become a critical social issue, which severely threatens children and adolescents’ physical and psychological health. The current research systematically examined the predictors of cyberbullying from the social cognitive and media effects approach. Specifically, this study identified 16 predictors of cyberbullying perpetration and victimization and examined the magnitude of the effects of these predictors by meta-analyzing 81 empirical studies, which represented a total sample of 99,741 participants and yielded 259 independent correlations. The results revealed that risky information and communications technology (ICT) use, moral disengagement, depression, social norms, and traditional bullying perpetration were the main predictors of cyberbullying perpetration, while risky ICT use and traditional bullying victimization were the major contributors of cyberbullying victimization. According to the moderator analyses, country of the sample, sampling method, age, and media platform were significant moderators of the relationships between some specific predictors and cyberbullying perpetration and victimization. Implications for future cyberbullying research were discussed.

Original languageEnglish
Pages (from-to)1194-1213
Number of pages20
JournalNew Media and Society
Volume19
Issue number8
DOIs
Publication statusPublished - Aug 1 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016, © The Author(s) 2016.

ASJC Scopus Subject Areas

  • Communication
  • Sociology and Political Science

Keywords

  • Cyberbullying perpetration
  • cyberbullying victimization
  • media effects
  • meta-analysis
  • social cognition

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