Name: MLMA hate speech
Description: Multilingual and Multi-Aspect Hate Speech Analysis
Provider: HKUST
Paper Title: Multilingual and Multi-Aspect Hate Speech Analysis
  
Tasks: hate speech detection, abusive language detection
Venue Name: Conference on Empirical Methods in Natural Language Processing
Authors: N. Ousidhoum,Zizheng Lin,Hongming Zhang,Y. Song,D. Yeung
Abstract: Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks. In this paper, we present a new multilingual multi-aspect hate speech analysis dataset and use it to test the current state-of-the-art multilingual multitask learning approaches. We evaluate our dataset in various classification settings, then we discuss how to leverage our annotations in order to improve hate speech detection and classification in general.