International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 2
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Artificial Intelligence and Cyberbullying Prevention: Evidence from a Survey Basd Statistical Study

Author(s) Ms. Neha Jain, Dr. Shivangi Barola
Country India
Abstract The rapid growth of digital communication platforms has significantly increased concerns regarding cyberbullying, particularly among students and young adults who are the most active users of social media. Cyberbullying has emerged as a complex social problem with serious psychological, academic, and social consequences. Due to the massive volume of online content, traditional human-based moderation methods have become insufficient to address the issue effectively. As a result, artificial intelligence (AI) has gained attention as a scalable and efficient solution for cyberbullying detection and prevention. This study examines perceptions regarding the role of artificial intelligence in preventing cyberbullying through a survey-based statistical approach. Using a simulated dataset of 150 respondents, the study analyzes awareness of AI-based tools, perceived effectiveness, trust in AI systems, and willingness to rely on AI-driven moderation. Descriptive statistics, reliability testing, correlation analysis, and inferential tests were applied to interpret the data. The findings indicate that higher awareness of AI tools is positively associated with perceived effectiveness and trust, and that trust significantly influences willingness to rely on AI-based cyberbullying prevention mechanisms. The study concludes that AI-based solutions are perceived as promising tools for addressing cyberbullying, but emphasizes the importance of ethical design, transparency, and human oversight to ensure responsible implementation.
Keywords Artificial Intelligence, Cyberbullying Prevention, AI-Based Detection, Survey Research, Online Safety, Statistical Analysis, Content Moderation.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-06
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E-ISSN 2582-2160
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