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Agentic LLM Framework Generates and Refines Counter-Narratives to Hate Speech
A new arXiv paper proposes a multi-stage agent-based pipeline in which LLMs draft and then iteratively improve counter-narratives aimed at hate speech and misinformation online. The authors argue that simply suppressing such content can backfire by increasing polarization, eroding trust, and amplifying extremist messaging. The work positions automated counter-speech as an alternative moderation strategy rather than takedown alone.