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News/CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges
arxiv
PublishedJune 19, 2026 at 4:00 AM
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CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges

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Publisher summary· verbatim

arXiv:2606.20369v1 Announce Type: new Abstract: Online hate speech and misinformation frequently overlap, yet NLP research has mainly treated them in isolation. While LLMs represent a scalable solution for assisting humans in the generation of counterspeech for both threats, zero-shot models frequen

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Mentioned models
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    RAG systems
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Tags
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#nlp#counterspeech#misinformation#hate-speech

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Mentioned models
02
  • 01
    LLMs
  • 02
    RAG systems
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#nlp#counterspeech#misinformation#hate-speech

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