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Han Zhang
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Year
Casm: A deep-learning approach for identifying collective action events with text and image data from social media
H Zhang, J Pan
Sociological Methodology 49 (1), 1-57, 2019
1852019
Addressing selection bias in event studies with general-purpose social media panels
H Zhang, S Hill, D Rothschild
Journal of Data and Information Quality (JDIQ) 10 (1), 1-24, 2018
21*2018
Image clustering: An unsupervised approach to categorize visual data in social science research
H Zhang, Y Peng
Sociological Methods & Research, 00491241221082603, 2022
172022
Physical exposures to political protests impact civic engagement: Evidence from 13 quasi-experiments with chinese social media
H Zhang
Available at SSRN 2647222, 2016
82016
The challenges of “more data” for protest event analysis
H Zhang, J Pan
Sociological Methodology 49 (1), 76-82, 2019
72019
Authoritarian responsiveness and political attitudes during COVID-19: evidence from Weibo and a survey experiment
L Wei, E Yao, H Zhang
Chinese Sociological Review 55 (1), 1-37, 2023
62023
How using machine learning classification as a variable in regression leads to attenuation bias and what to do about it
H Zhang
SocArXiv, accessed at https://osf. io/preprints/socarxiv/453jk/on May 2, 2022, 2021
62021
Robots and protest: does increased protest among Chinese workers result in more automation?
L Liu, H Zhang
Socio-Economic Review 21 (3), 1751-1772, 2023
32023
Analyzing Image Data with Machine Learning
H Zhang
2023
Selection and Description Bias in Protest Reporting by Government and News Media on Weibo
H Zhang, Y Lu, R Bai
The China Quarterly, 1-25, 2023
2023
Mobilizing Without the Masses: Control and Contention in China [Book review]
H Zhang
Mobilization: an International Quarterly, 153, 2020
2020
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Articles 1–11