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Founta et al. Hate and Abusive Speech on Twitter
Dataset of tweets collected from 30th March 2017 to 9th April 2017 with a boosted random sampling technique, by using text analysis and preliminary crowdsourcing rounds to... -
Davidson et al. Crowd-sourced Hate Speech On Twitter Dataset
Dataset of hateful tweets sampled from Twitter using keywords. Labelled by Crowdflower, 3+ people annotated each tweet. Majority decision was taken with 92% annotator agreement. -
Fortuna et al. A Hierarchically-Labeled Portugese Hate Speech Dataset From Tw...
Dataset contains hate speech in Portuguese sampled from Twitter with 81 categories. The dataset is manually annotated for Hate Speech using a hierarchical structure of classes.... -
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... -
Waseem Racism and Sexism on Twitter Dataset
Dataset of racist and sexist tweets sampled from Twitter and labelled first by experts (including feminist and anti-racist activists), and then by CF amateur annotators who...