80% of hateful tweets remain online after five months with no higher removal rate than non-hateful content, while human-AI moderation pipelines can feasibly cut user exposure below regulatory penalty costs.
Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning.EPJ Data Science, 11(1):8
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The Enforcement and Feasibility of Hate Speech Moderation on Twitter
80% of hateful tweets remain online after five months with no higher removal rate than non-hateful content, while human-AI moderation pipelines can feasibly cut user exposure below regulatory penalty costs.