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Automated hate speech detection and the problem of offensive language
Automated hate speech detection and the problem of offensive language. -
HateXplain
The HateXplain dataset, containing 20,000 posts from Gab and Twitter, annotated with hate/offensive/normal labels. -
Offensive Hebrew Corpus
A new offensive language corpus in Hebrew, manually annotated with a label, targets, topics, and offensive phrases. -
Hate Speech Detection Dataset
The dataset used in the paper is a collection of tweets with hate speech and offensive language, annotated with their sentiment.
