A Web of Hate: Tackling Hateful Speech in Online Social Spaces

Understand

Online social platforms are beset with hateful speech - content that expresses hatred for a person or group of people.

• Such content can frighten, intimidate, or silence platform users, and some of it can inspire other users to commit violence.
• Despite widespread recognition of the problems posed by such content, reliable solutions even for detecting hateful speech are lacking.
• In the present work, we establish why keyword-based methods are insufficient for detection.