Han Zhang
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    • Two-Layer Panopticon: How the Chinese Government Uses Digital Surveillance to Prevent Collective Action
    • Hug Fans or Follow Celebrities? How Nationalism Is Reinforced on Chinese Social Media
    • Joint Text-and-Image Clustering for Social Science Research
    • Patriarchal Erasure and Manufactured Passivity: Asymmetric Government and News Media Attention to Protests in China
    • Underrepresentation and Misrepresentation: Selection and Description Bias in Protest Reporting by Government and News Media on Weibo
    • Analyzing Image Data with Machine Learning
    • Robots and Protest: Does Increased Protest Among Chinese Workers Result in More Automation?
    • Image Clustering: An Unsupervised Approach to Categorize Visual Data in Social Science Research
    • Authoritarian Responsiveness and Political Attitudes during COVID-19: Evidence from Weibo and a Survey Experiment
    • How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It
    • CASM: A Deep Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media
    • Addressing Selection Bias in Event Studies with General-Purpose Social Media Panels
    • Causal Effect of Witnessing Political Protest on Civic Engagement
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    • IAPA 1801X: Surveillance: State, Capitalism, and Society
    • SOSC 4300 & 5500 : Computational Social Science
    • SOSC 5340 : Econometric Approaches to Social Science Research
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  • IAPA 1801X: Surveillance: State, Capitalism, and Society
  • SOSC 4300 & 5500 : Computational Social Science
  • SOSC 5340 : Econometric Approaches to Social Science Research
Teaching
IAPA 1801X: Surveillance: State, Capitalism, and Society

IAPA 1801X: Surveillance: State, Capitalism, and Society

I am teaching IAPA 1801X: Surveillance: State, Capitalism, and Society at Brown in Fall 2024.

Last updated on Sep 1, 2024
SOSC 4300 & 5500 : Computational Social Science May 1, 2024 →

© 2025 Me. This work is licensed under CC BY NC ND 4.0

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