| 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 | 74 | 2019 |
| Geolocated Twitter Panels to Study the Impact of Events H Zhang, D Rothschild, S Hill http://researchdmr.com/GeoLocatedPanels, 2015 | 8 | 2015 |
| 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 | 6 | 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 | 5 | 2016 |
| The Challenges of “More Data” for Protest Event Analysis H Zhang, J Pan Sociological Methodology 49 (1), 76-82, 2019 | 2 | 2019 |
| Image Clustering: An Unsupervised Approach to Categorize Visual Data in Social Science Research H Zhang, Y Peng SocArXiv, 2021 | 1 | 2021 |
| 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 | | 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 | | 2021 |
Jennifer PanStanford UniversityVerified email at stanford.edu
