Multi-LLM agent simulations reproduce stance monoculture and toxicity-delta patterns from real Bluesky hateful cascades, with agent heterogeneity as the main fidelity driver and targeted interventions cutting spread 7.5-12.9% at 5.7% benign cost.
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4 Pith papers cite this work. Polarity classification is still indexing.
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2026 4representative citing papers
AgoraSim is a hybrid agent-based modeling framework that runs LLM, vision-language, and classical agents under a shared action space and compares scenario trajectories against matched classical ABM reference dynamics.
EconAI adds memory weighting and economic sentiment indexing to LLM agents so they adapt short-term actions to long-term goals inside a single macro/micro simulation loop.
citing papers explorer
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Simulating Hate Speech Cascades with Multi-LLM Agents: Empirical Grounding, Modeling Fidelity, and Intervention Strategies
Multi-LLM agent simulations reproduce stance monoculture and toxicity-delta patterns from real Bluesky hateful cascades, with agent heterogeneity as the main fidelity driver and targeted interventions cutting spread 7.5-12.9% at 5.7% benign cost.
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AgoraSim: A Hybrid Agent-Based Modeling Framework
AgoraSim is a hybrid agent-based modeling framework that runs LLM, vision-language, and classical agents under a shared action space and compares scenario trajectories against matched classical ABM reference dynamics.
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EconAI: Dynamic Persona Evolution and Memory-Aware Agents in Evolving Economic Environments
EconAI adds memory weighting and economic sentiment indexing to LLM agents so they adapt short-term actions to long-term goals inside a single macro/micro simulation loop.
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