Name: Aljazeera Deleted Comments
Description: offensive and obsene language dataset
Provider: QCRI
Paper Title: Abusive Language Detection on Arabic Social Media
  
Tasks: hate speech detection, abusive language detection
Venue Name: Abusive Language Online
Authors: Hamdy Mubarak,Kareem Darwish,Walid Magdy
Abstract: In this paper, we present our work on detecting abusive language on Arabic social media. We extract a list of obscene words and hashtags using common patterns used in offensive and rude communications. We also classify Twitter users according to whether they use any of these words or not in their tweets. We expand the list of obscene words using this classification, and we report results on a newly created dataset of classified Arabic tweets (obscene, offensive, and clean). We make this dataset freely available for research, in addition to the list of obscene words and hashtags. We are also publicly releasing a large corpus of classified user comments that were deleted from a popular Arabic news site due to violations the site’s rules and guidelines.