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Applications in Political Methodology Using Large Language Models
Sun, September 3, 10:00 to 11:30am PDT (10:00 to 11:30am PDT), LACC, 501CSession Submission Type: Created Panel
Session Description
Each paper applies large language models to the study of politics.
Sub Unit
Individual Presentations
Not a Black Box: Tools for Interpreting Deep Neural Language Models - Musashi Jacobs-Harukawa, Princeton University
Simulating Partisan Media Diets with Large Language Models - Galen Stocking, Pew Research Center; Sono Shah, Pew Research Center; Samuel Bestvater, Pew Research Center
The Policy Agenda of U.S. Presidential Speeches: A Deep Learning Approach - Miklós Sebők, Centre for Social Sciences, Budapest; Akos Mate, Centre for Social Sciences, Hungarian Academy of Sciences Centre of Excellence; Amnon Cavari, Reichman University
Hey GPT-3, How Biased Are You? - Joan C. Timoneda, Purdue University; Rafael Mestre, University of Southampton