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arXiv cs.CL
arXiv cs.CL
7/2/2026
Hate Speech Detection in Turkish and Arabic Languages: A Comprehensive Study

Hate Speech Detection in Turkish and Arabic Languages: A Comprehensive Study

Short summary

Researchers introduce a comprehensive hate speech detection dataset and BERT-based models for Turkish and Arabic languages. The work addresses classification, intensity prediction, target identification, and span detection across five Turkish topics and one Arabic topic. Enables better understanding and moderation of hateful online discourse.

  • •Novel multilingual hate speech dataset covering Turkish (5 topics) and Arabic (refugees)
  • •BERT-based models for comprehensive hate speech analysis including intensity and target detection
  • •Addresses global content moderation challenge balancing free speech with harm prevention

Generated with AI, which can make mistakes.

#research-breakthrough#regulation-policy
Read full article at arXiv cs.CL

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