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August 1, 2025

Dark Tetrad and AI-Involved Cyberbullying: A Longitudinal Study (Preprint)

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Authors

RSRongjian SunCWCheng-Yen Wang

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Overview

Longitudinal study examines GAI-involved cyberbullying revealed psychopathy and sadism predict behavior, highlighting gender as a key demographic factor.

Key Points

  • Psychopathy and sadism are significant predictors of AI-involved cyberbullying behaviors among participants.
  • The study found that gender plays a crucial role, with males demonstrating higher engagement in cyberbullying.
  • A two-wave longitudinal survey was conducted with 1,019 participants to assess the influence of personality traits.
  • Findings suggest that understanding psychological traits can help develop targeted interventions for GAI-involved cyberbullying.

Cite This Study

Sun et al. (2025) studied this question.

synapsesocial.com/papers/689a0c6be6551bb0af8cfdc9https://doi.org/10.2196/preprints.81518
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Longitudinal Predictors of Generative AI-Involved Cyberbullying: A Two-Wave Longitudinal Study2026
  2. 2Dark Tetrad traits and problematic generative artificial intelligence use: the serial mediating role of individualism and intolerance of uncertainty2026 · 2 citations
  3. 3The dark side of generative AI: a two-wave prospective panel study of the Dark Tetrad in academic misconduct2026
  4. 4Exploring the Dark Tetrad in Human–GenAI Relationships: A Multi-Source Evaluation of GenAI Abuse2025 · 2 citations
  5. 5Personality Predictors of Attitudes and Misconduct Behaviors Related to Generative Artificial Intelligence: Evidence from the HEXACO and Dark Triad Models2025 · 1 citations