The potential of generative AI for personalized persuasion at scale
Authors: SC Matz, JD Teeny, SS Vaid, H Peters, GM Harari
Published: 2024
Publication: Scientific Reports, 2024 - nature.com
Generative AI, specifically large language models like ChatGPT, effectively scale personalized persuasion by matching messages to psychological profiles, demonstrating increased influence across domains and profiles.
Methods: Four studies (with seven sub-studies) tested personalized persuasive messaging crafted by ChatGPT against non-personalized messages across various psychological and domain-specific dimensions.
Key Findings: Effectiveness of personalized persuasive messages crafted by generative AI in different domains, targeting psychological profiles such as personality traits, political ideology, and moral foundations.
Limitations: Potential ethical concerns in automating persuasion, generalizability across non-studied domains, dependency on quality of input prompts, and implications of misuse were not deeply discussed.
Institution: Stanford University
Research Area: Personalized Persuasion, Generative AI,Political Influence
Discipline: Artificial Intelligence
Sample Size: 1788 participants
Citations: 368