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20268 - Culture and Computational Social Science (Co-sponsored by Section on Mathematical Sociology)
Sat, August 9, 8:00 to 9:30am, West Tower, Hyatt Regency Chicago, Floor: Ballroom Level/Gold, San FranciscoDescription
This panel examines how power and epistemology influence mathematical and computational models of culture. We invite contributions on any empirical topic that highlight how authors navigated the moral and normative challenges posed by the aim of modeling culture, whether brought about by the data used, theories applied, or epistemologies. We are especially curious about creative and non-conventional uses and manipulations of data. Submissions can take various forms—STS-inspired analyses of the epistemic assumptions in mathematical modeling, innovative methods for handling unusual or problematic data, or theoretical work addressing the normative aspects of modeling complex systems.
Sub Unit
Presider
Individual Presentations
Auditing Multimodal Large Language Models for Contextualized Hate Speech Detection Using Conjoint Experiments - Thomas Davidson, Rutgers University-New Brunswick
From Codebooks to Promptbooks: Extracting Information from Text with Generative Large Language Models - Oscar Stuhler, Northwestern University; Etienne Ollion, Centre national de la recherche scientifique; Cat Dang Ton
Generative AI in Sociological Research: A Survey of Computational Sociologists - AJ Alvero, Cornell University; Dustin S. Stoltz, Lehigh University; Marshall A. Taylor, New Mexico State University; Oscar Stuhler, Northwestern University
Interpretative Variation: How Interpretations Diverge in the U.S. Congress - Miriam Hurtado Bodell, Stanford University; Amir Goldberg, Stanford University