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Simulating Hate Speech Cascades with Multi-LLM Agents: Empirical Grounding, Modeling Fidelity, and Intervention Strategies

arXiv cs.AI ↗ · 2026-06-18 Cached

This paper studies hate speech cascades on Bluesky and uses multi-LLM agents to simulate them, finding that such simulations reproduce key patterns like stance monoculture and toxicity-delta direction, and that amplifier targeting on dense networks yields 7.5–12.9% reduction in hateful content with low benign collateral.

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