PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions

Fuente: arXiv
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Autori principali: Damo, Greta, Petiot, Stéphane, Cabrio, Elena, Villata, Serena
Natura: Preprint
Pubblicazione: 2026
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author Damo, Greta
Petiot, Stéphane
Cabrio, Elena
Villata, Serena
author_facet Damo, Greta
Petiot, Stéphane
Cabrio, Elena
Villata, Serena
contents The increasing volume of hate speech on online platforms poses significant societal challenges. While the Natural Language Processing community has developed effective methods to automatically detect the presence of hate speech, responses to it, called counter-speech, are still an open challenge. We present PEACE 2.0, a novel tool that, besides analysing and explaining why a message is considered hateful or not, also generates a response to it. More specifically, PEACE 2.0 has three main new functionalities: leveraging a Retrieval-Augmented Generation (RAG) pipeline i) to ground HS explanations into evidence and facts, ii) to automatically generate evidence-grounded counter-speech, and iii) exploring the characteristics of counter-speech replies. By integrating these capabilities, PEACE 2.0 enables in-depth analysis and response generation for both explicit and implicit hateful messages.
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id arxiv_https___arxiv_org_abs_2602_17467
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions
Damo, Greta
Petiot, Stéphane
Cabrio, Elena
Villata, Serena
Computation and Language
The increasing volume of hate speech on online platforms poses significant societal challenges. While the Natural Language Processing community has developed effective methods to automatically detect the presence of hate speech, responses to it, called counter-speech, are still an open challenge. We present PEACE 2.0, a novel tool that, besides analysing and explaining why a message is considered hateful or not, also generates a response to it. More specifically, PEACE 2.0 has three main new functionalities: leveraging a Retrieval-Augmented Generation (RAG) pipeline i) to ground HS explanations into evidence and facts, ii) to automatically generate evidence-grounded counter-speech, and iii) exploring the characteristics of counter-speech replies. By integrating these capabilities, PEACE 2.0 enables in-depth analysis and response generation for both explicit and implicit hateful messages.
title PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions
topic Computation and Language
url https://arxiv.org/abs/2602.17467