{"type":"ScholarlyArticle","title":"PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions","authors":[{"name":"Greta Damo","slug":"greta-damo","given":"Greta","family":"Damo","affiliation":""},{"name":"Stéphane Petiot","slug":"stephane-petiot","given":"Stéphane","family":"Petiot","affiliation":""},{"name":"Elena Cabrio","slug":"elena-cabrio","given":"Elena","family":"Cabrio","affiliation":""},{"name":"Serena Villata","slug":"serena-villata","given":"Serena","family":"Villata","affiliation":""}],"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. \r\nBy integrating these capabilities, PEACE 2.0 enables in-depth analysis and response generation for both explicit and implicit hateful messages.","doi":"10.24963/ijcai.2026/961","url":"https://ijcai.org/proceedings/2026/961","pdf":"https://ijcai.org/proceedings/2026/0961.pdf","markdown":"https://ijcai.org/proceedings/2026/961.md","bibtex":"https://ijcai.org/proceedings/2026/bibtex/961","volume":{"slug":"2026","title":"Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2026","url":"https://ijcai.org/proceedings/2026/","year":2026,"location":"Bremen, Germany","dates":"15-21 August 2026","editors":"Diego Calvanese","isbn":"978-1-956792-09-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2026"},"section":"Demo Track","track":"Demo Track","number":961,"pages":{"first":8380,"last":8384},"keywords":["AI: AI Ethics, Trust, Fairnes","AI: Multidisciplinary Topics and Applications","AI: Natural Language Processing"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}