Hybrid human-AI networks in 5x5 grids reached lower final polarization than human-only networks after eight rounds of opinion revision on polarizing topics.
Bakker, Daniel Jarrett, Hannah Sheahan, Martin J
7 Pith papers cite this work. Polarity classification is still indexing.
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LLMimic role-play training improves AI literacy and reduces susceptibility to AI persuasion across realistic scenarios.
Agora uses AI to ground policy discussions in real human voices and a small study shows it improves users' perspective-taking compared to numerical summaries alone.
An AI system that elicits personal experiences and visualizes policy support increased perceived legitimacy and perspective-taking in collective decisions despite unfavorable outcomes.
A survey-experiment with 236 participants shows most believe myths about gig worker vulnerabilities and that targeted counterarguments can reduce those beliefs.
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An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies
Hybrid human-AI networks in 5x5 grids reached lower final polarization than human-only networks after eight rounds of opinion revision on polarizing topics.
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Train Yourself as an LLM: Exploring Effects of AI Literacy on Persuasion via Role-playing LLM Training
LLMimic role-play training improves AI literacy and reduces susceptibility to AI persuasion across realistic scenarios.
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Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice
Agora uses AI to ground policy discussions in real human voices and a small study shows it improves users' perspective-taking compared to numerical summaries alone.
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AI and Collective Decisions: Strengthening Legitimacy and Losers' Consent
An AI system that elicits personal experiences and visualizes policy support increased perceived legitimacy and perspective-taking in collective decisions despite unfavorable outcomes.
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Understanding, Challenging, and Demystifying Perceptions of Gig Worker Vulnerabilities
A survey-experiment with 236 participants shows most believe myths about gig worker vulnerabilities and that targeted counterarguments can reduce those beliefs.
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