AI editing of human texts introduces directional biases that amplify through social networks to steer collective opinions, demonstrated empirically and via an analytical model with a real-world audit of Grok on X.
Simulating opinion dynamics with networks of llm-based agents
2 Pith papers cite this work. Polarity classification is still indexing.
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Agentic AI needs social theory as structural priors in the MASS framework to model emergent dynamics from multi-agent interactions.
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AI-Mediated Communication Can Steer Collective Opinion
AI editing of human texts introduces directional biases that amplify through social networks to steer collective opinions, demonstrated empirically and via an analytical model with a real-world audit of Grok on X.
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Social Theory Should Be a Structural Prior for Agentic AI: A Formal Framework for Multi-Agent Social Systems
Agentic AI needs social theory as structural priors in the MASS framework to model emergent dynamics from multi-agent interactions.