Xu, Zhi, and Sencun Zhu. "Filtering offensive language in online communities using grammatical relations." Proceedings of the Seventh Annual Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference. 2010.

This paper addresses the significant issue of offensive language in online communities, detailing its negative effects on both the platforms' reputation and users' mental health. It introduces a novel automatic sentence-level filtering approach that leverages grammatical relationships among words to semantically remove offensive content, offering an efficient alternative to labor-intensive manual filtering. Experiments on a dataset of 11,000 manually filtered YouTube comments demonstrate over 90% agreement with manual methods, proving the practicality and effectiveness of the proposed solution for real-world application.