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Collective behavior and social movements (CBSM) was among the first sociological subfields to embrace the revolution in digital (and/or “big”) data and computational methods. Since then, the sources and types of data and methods have grown enormously, including non-computational methods, such as digital ethnography. Building on last year’s ASA session featuring high-quality research drawing on recent advances in data and methods, this session seeks to highlight innovative and productive uses of data and cutting-edge methods, as well as the analytical frameworks that tie them together. Examples of data include, but are not limited to, newly digitized archives, content from social media and so-called alt-tech platforms, simulations, experiments, fine-grained spatial observations, multimodal digital data, and AI-generated media. In addition to showcasing these and other kinds of data, the session will emphasize computational and quantitative methods, but aims to include a range of methods, including advances in qualitative and mixed-methods approaches.
Downplaying Popularity of Protests: Visual Narratives, Authoritarian Control, and the 2019 Hong Kong Social Movement - Yuhan Hu, University of Oxford
Emerging Consensus: Framing Dynamics during the 2019 Hong Kong Anti-Extradition Protests - Weijun Yuan, University of Chicago; Saber Khani, Boston College
Protest in Pictures: A Computational Approach to Visual Framing in Global News Media - Danial Vahabli, Stony Brook University; Alexander B. Kinney, Oberlin College & Conservatory; Yongjun Zhang, Stony Brook University
U.S. Campus Mobilization Across Waves of Contention, 2012-2018 - Alex Hanna, Distributed AI Research Institute; Ellen Berrey, University of Toronto; Nathan Kim
We Had a Lot of Trouble with You: Assessing the Repressive Capacity of U.S. Congress, 1900-2000 - Charles F. Seguin, Pennsylvania State University; Thomas V. Maher, Clemson University; Yongjun Zhang, Stony Brook University; Evan James Ferstl, Pennsylvania State University