Authors: K Hackenburg, BM Tappin, L Hewitt, E Saunders
Year: 2025
Published in: Science, 2025 - science.org
Institution: London School of Economics and Political Science, Stony Brook University
Research Area: Political Persuasion with Conversational AI, LLM, Factual Accuracy in AI Systems.
Discipline: Political Science, Computational Social Science
This Science paper shows that conversational AI chatbots can systematically influence political opinions at scale, and that techniques like post-training and prompting make them far more persuasive—but that increased persuasion is tied to reduced factual accuracy in what the AI says.
Citations: 12
Authors: L Hewitt, A Ashokkumar, I Ghezae, R Willer
Year: 2024
Published in: Preprint, 2024 - samim.io
Institution: Stanford University, New York University
Research Area: Social Science Experiments, Large Language Model Prediction, LLM
Discipline: Computational Social Science
The study presents a framework using large language models to predict outcomes of social science field experiments, achieving 78% accuracy but facing challenges with experiments on complex social issues.
Methods: Authors used an automated framework powered by large language models to predict outcomes of 276 field experiments drawn from economics literature.
Key Findings: The prediction accuracy of large language models for outcomes of field experiments addressing various human behaviors.
Citations: 68
Sample Size: 276