Publications

Robots and Protest: Does Increased Protest Among Chinese Workers Result in More Automation?

Abstract: The rising level of automation has increasingly attracted scholar’s attention. On the other hand, there are many studies of …

Image Clustering: An Unsupervised Approach to Categorize Visual Data in Social Science Research

Abstract: Automated image analysis has received increasing attention in social scientific research, yet existing scholarship has …

How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It

Abstract: Social scientists have increasingly been applying machine learning algorithms to “big data” to measure …

Authoritarian Responsiveness and Political Attitudes during COVID-19: Evidence from Weibo and a Survey Experiment

Abstract: How do citizens react to authoritarian responsiveness? To investigate this question, we study how Chinese citizens reacted to …

CASM: A Deep Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

There are three great invited commentaries to our article by Zachary C. Steinert-Threlkeld, Swen Hutter, and Pamela Oliver. Read them …

Addressing Selection Bias in Event Studies with General-Purpose Social Media Panels

Abstract: Data from Twitter have been employed in prior research to study the impacts of events. Conventionally, researchers use …

Causal Effect of Witnessing Political Protest on Civic Engagement

How does physically witnessing a protest in a democratic society affect citizens in authoritarian societies? Existing data are unable …