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When two AI agents disagree, who persuades whom? As multi-agent systems increasingly combine language models of different families and sizes, the answer can determine which judgments survive interaction. Measuring persuasion as the probabilistic shift in an agent's decision after a single exchange with a dissenting pee...
Abstract Polarization research has demonstrated how people cluster in homogeneous groups with opposing opinions. However, this effect emerges not only through interaction between people, limiting communication between groups, but also between narratives, shaping opinions and partisan identities. Yet, how polarized info...
This work shows that indirect tipping through intermediate stepping-stone equilibria can reduce the committed minority required to reach an alternative state, bypass majority requirements, and make possible transitions inaccessible through direct challenges.
It is found that AI assistance increases accuracy by 3-7% when participants viewed the relevant video segment, and by 27-35% when they did not, while efficiency increases by 10% for short videos and 25% for longer ones, and self-reported confidence in answers remains stable across all three conditions.
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