SOURCE-LINKED INTELLIGENCE
A Multi-Stage Agentic Framework for Effective Counter-Narrative Generation and Refinement
The rapid diffusion of hate speech and misinformation on social networks challenges democratic societies, since direct suppression efforts may deepen polarization, fuel public distrusts, and strengthen extremist narratives. LLM-driven counter-narratives (CNs) offer a promising way to reduce those risks, yet their effectiveness depends on rhetorical and stylistic choices that remain poorly understood. We present a multi-stage agent-based framework for generating, refining, and evaluating CNs, applied to pro-Russian hate and misinformation narratives on the war with Ukraine and adaptable to othe
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-12T23:00:19.000Z
First collected: 2026-09-20T12:41:04.663Z. This is not the publication date.