Looking Under the Hood: How LLMs Attempt Political Persuasion and Microtargeting
Alex Lyman, Ethan C. Busby, Lisa P. Argyle, Joshua R. Gubler, David Wingate
Chinese Political Science Review
Associate Professor of Political Science
Coordinator, Middle Eastern Studies/Arabic Program
Co-founder/director, Social Science and AI Lab (SAIL)
Brigham Young University
Joshua Gubler is an associate professor and political psychologist located at Brigham Young University. He's interested in identifying processes and tools for prejudice reduction and depolarization. His work pays particular attention to the roles of language, affect, and emotion in inhibiting and facilitating these outcomes. With Caleb Leach, he's currently in the process of completing a book on emotion in political science. He also coordinates the Middle Eastern Studies/Arabic program at BYU.
He co-founded and co-directs a team pursuing the use of AI in Social Science — the Social Science and AI Lab (SAIL) at Brigham Young University. The team's first paper introduced and illustrated the concept of silicon/synthetic sampling. Its second paper illustrated how large language models can be used to improve online political conversations at scale. In addition to writing papers exploring in greater depth how AI can be used as a tool to further social science, SAIL is currently focused on a series of projects that use AI to strengthen democracy in the United States and worldwide.
Alex Lyman, Ethan C. Busby, Lisa P. Argyle, Joshua R. Gubler, David Wingate
Chinese Political Science Review
Darren Hawkins, Joshua R. Gubler, Celeste Beesley, Tayla Ingles, Julia Chatterly
Research and Politics, 12(4)
Lisa P. Argyle, Ethan C. Busby, Joshua R. Gubler, Bryce Hepner, Alex Lyman, David Wingate
Nature Computational Science, 5(9): 737–744