Virtual Harassment, Real Understanding: Using a Serious Game and Bayesian Networks to Study Cyberbullying
Jaime P\'erez, Mario Castro, Edmond Awad, Gregorio L\'opez

TL;DR
This paper introduces a novel approach using a serious game and Bayesian Networks to study cyberbullying, providing deeper insights and more effective intervention strategies than traditional methods.
Contribution
It presents an innovative combination of serious gaming and causality-based analysis with Bayesian Networks for studying cyberbullying, improving data collection and interpretability.
Findings
Serious game surpasses traditional questionnaires in informativeness.
Bayesian Networks effectively model complex relationships and uncertainties.
Preliminary results show promise for intervention strategies.
Abstract
Cyberbullying among minors is a pressing concern in our digital society, necessitating effective prevention and intervention strategies. Traditional data collection methods often intrude on privacy and yield limited insights. This study explores an innovative approach, employing a serious game - designed with purposes beyond entertainment - as a non-intrusive tool for data collection and education. In contrast to traditional correlation-based analyses, we propose a causality-based approach using Bayesian Networks to unravel complex relationships in the collected data and quantify result uncertainties. This robust analytical tool yields interpretable outcomes, enhances transparency in assumptions, and fosters open scientific discourse. Preliminary pilot studies with the serious game show promising results, surpassing the informative capacity of traditional demographic and psychological…
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Taxonomy
TopicsBullying, Victimization, and Aggression · Viral Infections and Vectors · Crime Patterns and Interventions
