Authors : Agastya Desai

Volume/Issue : Volume 10 - 2025, Issue 11 - November

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Google Scholar : https://tinyurl.com/4e7d7map

Scribd : https://tinyurl.com/2s3asybh

DOI : https://doi.org/10.38124/ijisrt/25nov532

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Abstract : This paper investigates the effectiveness of artificial intelligence in detecting cyberbullying across multiple platforms. Using a set of simulated chat logs containing signs of bullying, borderline and safe interactions, five widely used AI models were tested and compared. Each system’s ability to identify harmful language was measured taking into consideration false positives and negatives. These findings demonstrate the progress of AI moderation tools but also emphasize the importance of human involvement and ethical oversight in preventing harm online.

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