What question did this study set out to answer?

This study examines the psychological and demographic predictors of generative AI-involved cyberbullying over time.

Longitudinal Predictors of Generative AI-Involved Cyberbullying: A Two-Wave Longitudinal Study

View Full Paper

Ask AI

Bookmark

This study examines the psychological and demographic predictors of generative AI-involved cyberbullying over time.
Two-wave longitudinal design with N = 1,019 participants over a 6-month interval.
Hierarchical linear regressions were used to analyze associations between factors and cyberbullying at two time points.
Controlled for baseline behaviors to assess longitudinal predictors.
Psychopathy and male gender were significant predictors of generative AI-involved cyberbullying at Time 2.
Sadism showed significance at baseline but not after adjusting for prior behaviors.
Machiavellianism, narcissism, and age did not exhibit significant effects on cyberbullying.

No takes yet. Share an insight, caveat, or question.

Longitudinal study investigates predictors of cyberbullying involving generative AI, suggesting implications for prevention.

Sun et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark