Persuading voters using human-artificial intelligence dialogues
Authors: H Lin, G Czarnek, B Lewis, JP White, AJ Berinsky
Published: 2025
Publication: Nature, 2025 - nature.com
The study shows that AI-driven dialogues can significantly influence voter attitudes and candidate preferences, with persuasion effects surpassing traditional political advertisements, though inaccuracies were more prevalent in content generated by AI models supporting right-wing candidates.
Methods: Pre-registered experiments where participants interacted with AI advocating for one of two candidates or a ballot measure, examining persuasion strategies and effects across three elections.
Key Findings: Influence of AI-generated dialogues on voter attitudes and preferences, including analysis of persuasion strategies and accuracy of presented information.
Limitations: The accuracy of information provided by AI was inconsistent, with AI models supporting right-wing candidates making more inaccurate claims; the specific sample size and demographics were not detailed in the abstract.
Institution: Massachusetts Institute of Technology
Research Area: Political Persuasion, Human-AI Dialogue, Electoral Behavior
Discipline: Political Science , Artificial Intelligence
Citations: 3