Ben Tappin
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The levers of political persuasion with conversational AI
Comparing the persuasiveness of role-playing large language models and human experts on polarized U.S. political issues
Large language models are more persuasive than incentivized human persuaders
Scaling language model size yields diminishing returns for single-message political persuasion
Using survey experiment pretesting to support future pandemic response
How experiments help campaigns persuade voters: evidence from a large archive of campaigns’ own experiments
No association between numerical ability and politically motivated reasoning in a large US probability sample
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