Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech

Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech

Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Hatebusters is a web application for actively reporting YouTube hate speech, aiming to establish an online community of volunteer citizens. Hatebusters searches YouTube for videos with potentially hateful comments, scores their comments with a classifier trained on human-annotated data and presents users those comments with the highest probability of being hate speech. It also employs gamification elements, such as achievements and leaderboards, to drive user engagement.  
Keywords:
Machine Learning: Data Mining
Machine Learning: Machine Learning
Natural Language Processing: Text Classification