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Session Submission Type: Paper Session
1:35pm |
Diagnosing Hate Speech Classification: Where Do Humans and Machines Disagree, and Why? - Xilin Yang, Princeton University
1:45pm |
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Science - Menglin Liu, University of California-Davis
1:55pm |
Probabilistic Text Matching: Method and Application to the Study of Media Bias in the U.S. - Yimeng Li, Florida State University
2:05pm |
Replacing Experts with LLMs When Analyzing Political Texts - Ken Benoit, Singapore Management University; Michael Laver, New York University; Scott De Marchi, Duke University
2:15pm |
Steering Generative AI for Classifying Open-ended Text: An Evaluation of ANES Open-ended Data - George D Quinn, Rutgers University; Richard R. Lau, Rutgers University-New Brunswick
2:35pm |
Audience participation will last for the remainder of the session.