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

TL;DR

PEACE 2.0 is a comprehensive tool that analyzes, explains, and generates evidence-grounded counter-speech for hate messages, enhancing automated responses to online hate speech.

Contribution

It introduces a retrieval-augmented generation pipeline for grounding explanations and generating counter-speech, advancing automated hate speech mitigation.

Findings

Grounds explanations in evidence and facts

Automatically generates evidence-based counter-speech

Explores characteristics of counter-speech replies

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.