Hateful Users on Twitter
Introduced by Horta et al. in "Like Sheep Among Wolves": Characterizing Hateful Users on Twitter
This is a Twitter dataset of 100,386 users along with up to 200 tweets from their timelines with a random-walk-based crawler on the retweet graph, with a subsample of 4,972 which is manually annotated as hateful or not through crowdsourcing. The dataset can be used to examine the difference between user activity patterns, the content disseminated between hateful and normal users, and network centrality measurements in the sampled graph.
Papers
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