Protecting Users from Online Harassment through Automated Detection

Authors- J. Saravana Mukhil, Assistant Professor Dr. D. R. Kritika

Abstract--Cyberbullying, which occurs on digital platforms such as social media, messaging apps, and online gaming, involves the use of technology to harass, humiliate, or harm individuals. This form of bullying can result in lasting emotional distress as harmful or private information is shared publicly, creating a permanent record that can have long-term consequences. Despite efforts to detect and prevent cyberbullying, many existing approaches, particularly those based on Machine Learning (ML) and Natural Language Processing (NLP), often fail to capture the deeper semantic meaning of the text, limiting their effectiveness in accurately identifying bullying content.

DOI: /10.61463/ijset.vol.13.issue2.439