Understanding Abuse: A Typology of Abusive Language Detection Subtasks
2017-05-28WS 2017Code Available0· sign in to hype
Zeerak Waseem, Thomas Davidson, Dana Warmsley, Ingmar Weber
Code Available — Be the first to reproduce this paper.
ReproduceCode
Abstract
As the body of research on abusive language detection and analysis grows, there is a need for critical consideration of the relationships between different subtasks that have been grouped under this label. Based on work on hate speech, cyberbullying, and online abuse we propose a typology that captures central similarities and differences between subtasks and we discuss its implications for data annotation and feature construction. We emphasize the practical actions that can be taken by researchers to best approach their abusive language detection subtask of interest.