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This session highlights current research at the intersection of culture and sociology, drawing on a rich history of formal and computational approaches in both fields. The session is open to papers that employ mathematical and computational methods to analyze culture and meaning. Papers may use a diverse range of techniques, including network analysis, agent-based modeling, computational text analysis, and formal models of cultural evolution and belief change. Additionally, papers may also explore connections between micro-level interactions, sentiments, and beliefs, and macro-level cultural patterns. This addresses fundamental sociological questions about how culture evolves, the influence of cultural factors on social action, and the social construction of meaning.
Every Portrait Tells a Story: Tracing Gender Disparities in Paintings, 1400–2024 - Yangyu Wang, University of Chicago
Incremental Predictive Gain from Change: Quantifying Sources of Variance in Personal Culture - Kevin Kiley, North Carolina State University; Achim Edelmann, University of Bern; Turgut Keskintürk, Duke University; Stephen Vaisey, Duke University
From Exposure to Influence: Interactional Affordances and Belief Change in Peer Networks - Josh Gaghan, Duke University; Craig M. Rawlings, Duke University
Nationalism as a Partisan Repertoire: A Computational Analysis of Narrative and Semantic Divergences - Jaemin Lee, The Chinese University of Hong Kong; Siwei Qin, The Chinese University of Hongkong
When is the World Reversed? Economic Representation of Nation-States in U.S. Media, 1981 to 2014 - Jungsik Choi, Pennsylvania State University