Albadi et al. Arabic Religious Hate on Twitter

Dataset of Arabic religious hate tweets sampled using neutral religious names as keywords. Annotation was crowdsourced using CrowdFlower, with a minimum of 3 annotations per tweet. Annotator agreement was 81% for hate/not and 55% for the religious group which was targetted.

Data and Resources

Additional Info

Field Value
Paper Authors Albadi, N., Kurdi, M. and Mishra, S.
Author contact email Albadi, N., Kurdi, M. and Mishra, S.
Publication / paper reference Albadi, N., Kurdi, M. and Mishra, S., 2018. Are they Our Brothers? Analysis and Detection of Religious Hate Speech in the Arabic Twittersphere. In: International Conference on Advances in Social Networks Analysis and Mining. Barcelona, Spain: IEEE, pp.69-76.
Publication / paper link
Publication Year
Dataset about page
Language(s) covered Arabic
Source data platform(s) Twitter
Phenomena annotated Group-directed hate, Religious subcategories
Level of instances Single comment / post
Data statement link
Total number of instances in dataset 6,136 Tweets
Proportion of positive/abusive instances 0.45
Submitter Laila Sprejer
Submitter Email
State active