The potential of generative AI for personalized persuasion at scale
Columbia University · W.K. Kellogg Foundation · +1 more institution
Abstract
Matching the language or content of a message to the psychological profile of its recipient (known as "personalized persuasion") is widely considered to be one of the most effective messaging strategies. We demonstrate that the rapid advances in large language models (LLMs), like ChatGPT, could accelerate this influence by making personalized persuasion scalable. Across four studies (consisting of seven sub-studies; total N = 1788), we show that personalized messages crafted by ChatGPT exhibit significantly more influence than non-personalized messages. This was true across different domains of persuasion (e.g., marketing of consumer products, political appeals for climate action), psychological profiles…
Citation impact
- FWCI
- 199.64
- Percentile
- 100%
- References
- 73
Authors
6Topics & keywords
- Persuasion
- Dimension (graph theory)
- Matching (statistics)
- Scale (ratio)
- Politics
- Computer science
- Persuasive communication
- Personalized medicine
- Climate action