Research on the Application of Natural Language Processing Technology in Combating Cyber Violence
Haodan Qin, Ruijun Zhang, Zeyu Wang, Hui Wang · 2025
This study addresses the contemporary issue of cyber violence by developing a malicious content filtering algorithm to enhance online environmental health and safety. Leveraging comprehensive natural language processing (NLP) techniques, the research focuses on capturing implicit meanings and contextual associations in harmful speech through a cross-platform, multilingual algorithm design. The proposed system aims to achieve precise identification and effective blocking of toxic content across social media platforms, news comment sections, and forum discussions. By accommodating diverse linguistic and cultural contexts, the solution seeks to significantly reduce the dissemination and societal impact of malicious discourse, ultimately contributing to a more harmonious and equitable digital ecosystem.