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 | 124 | 2019 |
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 | 16* | 2018 |
Physical exposures to political protests impact civic engagement: Evidence from 13 quasi-experiments with chinese social media H Zhang Available at SSRN 2647222, 2016 | 7 | 2016 |
Image clustering: An unsupervised approach to categorize visual data in social science research H Zhang, Y Peng Sociological Methods & Research, 00491241221082603, 2021 | 5 | 2021 |
The challenges of “more data” for protest event analysis H Zhang, J Pan Sociological Methodology 49 (1), 76-82, 2019 | 5 | 2019 |
Authoritarian responsiveness and political attitudes during COVID-19: evidence from Weibo and a survey experiment L Wei, E Yao, H Zhang Chinese Sociological Review, 1-37, 2021 | 2 | 2021 |
How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It H Zhang SocArXiv, 2021 | 2 | 2021 |
Robots and protest: does increased protest among Chinese workers result in more automation? L Liu, H Zhang Socio-Economic Review, 2022 | | 2022 |