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2018 IJCAI IJCAI 2018

Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech

Abstract

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.

🐣 Hot Topic Early Bird - hate speech detection

Authors

Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas

Topics

Artificial Intelligence > Core AI > AI Safety Artificial Intelligence > Core AI > Human-AI Interaction Machine Learning > Core Methods > Classification

Keywords

user engagement hate speech detection content classification web application youtube comment youtube comment classification active reporting
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