Publications

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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