Publications

Han Zhang (2026). Two-Layer Panopticon: How the Chinese Government Uses Digital Surveillance to Prevent Collective Action. Social Forces.
Han Zhang, Ryan Leung (2025). Joint Text-and-Image Clustering for Social Science Research. Sociological Methodology.
Jean Hong, Yong Kim, Han Zhang, Tianzhu Qin (2025). Hug Fans or Follow Celebrities? How Nationalism Is Reinforced on Chinese Social Media. Science Advances.
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Linda Hong Cheng, Yao Lu, Han Zhang (2024). Patriarchal Erasure and Manufactured Passivity: Asymmetric Government and News Media Attention to Protests in China. Mobilization: An International Quarterly.
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Han Zhang, Yao Lu, Rui Bai (2024). Underrepresentation and Misrepresentation: Selection and Description Bias in Protest Reporting by Government and News Media on Weibo. The China Quarterly.
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Han Zhang (2023). Analyzing Image Data with Machine Learning. The Oxford Handbook of the Sociology of Machine Learning.
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Larry Liu, Han Zhang (2023). Robots and Protest: Does Increased Protest Among Chinese Workers Result in More Automation?. Socio-Economic Review.
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Han Zhang, Yilang Peng (2022). Image Clustering: An Unsupervised Approach to Categorize Visual Data in Social Science Research. Sociological Methods and Research.
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Han Zhang (2021). How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It. SocArXiv.
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Lai Wei, Elaine Yao, Han Zhang (2021). Authoritarian Responsiveness and Political Attitudes during COVID-19: Evidence from Weibo and a Survey Experiment. Chinese Sociological Review.
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Han Zhang, Jennifer Pan (2019). CASM: A Deep Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media. Sociological Methodology.
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Han Zhang, Shawndra Hill, David Rothschild (2018). Addressing Selection Bias in Event Studies with General-Purpose Social Media Panels. Journal of Data and Information Quality.
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Han Zhang (2016). Causal Effect of Witnessing Political Protest on Civic Engagement.
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