When Does Hate Transfer? A Large-Scale Study of Cross-Lingual Hate Speech Detection

arXiv:2610.27285v1 Announce Type: cross Abstract: Effective detection of hate content is essential for maintaining healthy online communities, yet performance can vary substantially across languages. This work investigates a core practical question: Can training data from one language support hate-speech detection in another language with comparable performance? To answer this question, we conduct a large-scale study across 14 languages. \change{We observe consistent patterns in which certain language pairs transfer more effectively than others. Among the factors we measure, linguistic similar

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