Multilingual Cross-domain Perspectives on Online Hate Speech

 
Abstract
In this report, we present a study of eight corpora of online hate speech, by demonstrating the NLP techniques that we used to collect and analyze the jihadist, extremist, racist, and sexist content.

Analysis of the multilingual corpora shows that the different contexts share certain characteristics in their hateful rhetoric.
To expose the main features, we have focused on text classification, text profiling, keyword, and collocation extraction, along with manual annotation and qualitative study.
Authors
Tom De Smedt, Sylvia Jaki, Eduan Kotzé, Leïla Saoud, Maja Gwóźdź, Guy De Pauw, Walter Daelemans
Journal
CLiPS Technical Report Series
Date
2018
Link
Paper