AI RESEARCH
The Enforcement and Feasibility of Hate Speech Moderation on Twitter
arXiv CS.CL
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ArXi:2604.12289v1 Announce Type: cross Online hate speech is associated with substantial social harms, yet it remains unclear how consistently platforms enforce hate speech policies or whether enforcement is feasible at scale. We address these questions through a global audit of hate speech moderation on Twitter (now X). Using a complete 24-hour snapshot of public tweets, we construct representative samples comprising 540,000 tweets annotated for hate speech by trained annotators across eight major languages.