PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Demo Track. Pages 8380-8384.
https://doi.org/10.24963/ijcai.2026/961
Keywords
- AI: AI Ethics, Trust, Fairnes
- AI: Multidisciplinary Topics and Applications
- AI: Natural Language Processing
Abstract
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.
@inproceedings{ijcai2026p961,
title = {PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions},
author = {Damo, Greta and Petiot, Stéphane and Cabrio, Elena and Villata, Serena},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {8380--8384},
year = {2026},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2026/961},
url = {https://doi.org/10.24963/ijcai.2026/961},
}
TY - CPAPER TI - PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions AU - Damo, Greta AU - Petiot, Stéphane AU - Cabrio, Elena AU - Villata, Serena T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 8380 EP - 8384 DO - 10.24963/ijcai.2026/961 UR - https://doi.org/10.24963/ijcai.2026/961 ER -Copied
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