My research focuses on political communication in authoritarian countries. How autocrats constrain collective action through online censorship, propaganda, and responsiveness. How new media technologies allow regime insiders to manipulate information. How public preferences are arranged and formed as a result. I combine experimental and computational methods with large-scale datasets on political activity in China and other authoritarian regimes to examine these questions.
My book manuscript, Hush Money: How China’s Use of Welfare and Surveillance to Prevent Collective Action Backfires, shows how Chinese government efforts to prevent collective action paradoxically intensify contention and catalyze collective action.
Zhang Han and Jennifer Pan. 2019. “CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media” Sociological Methodology. 2019. (PDF, CASM Dataset)
Reeves, Byron, Ram, Nilam, Robinson, Thomas N., Cummings, James J. Giles, C. Lee, Pan, Jennifer, Chiatti , Agnese et al. Forthcoming. “Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways That Technology Shapes Them.” Human Computer Interaction. 2019. (PDF)
Muise, Daniel and Jennifer Pan. 2019. “Online Field Experiments.” Asian Journal of Communication 29(3): 217-234. (PDF)
Pan, Jennifer and Kaiping Chen. 2018. “Concealing Corruption: How Chinese Officials Distort Upward Reporting of Online Grievances.” American Political Science Review 112(3): 602-620. (PDF, Appendix, Replication)
Anjalie Field; Doron Kliger; Shuly Wintner; Jennifer Pan; Dan Jurafsky; and Yulia Tsvetkov. 2018. “Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies.” EMNLP 2018. (PDF)
King, Gary, Pan, Jennifer and Margaret E. Roberts. 2017. “How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, not Engaged Argument.” American Political Science Review 111(3): 484-501. 2017. (PDF, Replication)
Pan, Jennifer. 2017. “How Market Dynamics of Domestic and Foreign Social Media Firms Shape Strategies of Internet Censorship.” Problems of Post-Communism 64(3-4): 167-188. (PDF)
Meng, Tianguang; Pan, Jennifer; and Ping Yang. 2017. “Conditional Receptivity to Citizen Participation: Evidence from a Survey Experiment in China.” Comparative Political Studies 50(4): 399–433. (PDF, Replication)
Monroe, Burt L.; Pan, Jennifer; Roberts, Margaret E.; Sen, Maya, and Betsy Sinclair. 2015. “No! Formal Theory, Causal Inference, and Big Data Are Not Contradictory Trends in Political Science.” PS: Political Science and Politics. (PDF)
King, Gary, Pan, Jennifer, and Margaret Roberts. 2014. “Reverse-engineering Censorship in China: Randomized Experimentation and Participant Observation.” Science 345, no. 6199: 1-10. (PDF, Supplement, Summary, Replication)
King, Gary, Pan, Jennifer, and Margaret Roberts. 2013. “How Censorship in China Allows Government Criticism but Silences Collective Expression.” American Political Science Review 107(2): 1-18. (PDF, Replication)
Zhang, Fujie, Hsu, Michael, Yu, Lan, Wen, Yi, Tuo, Jia, Zhang, Ruijuan, and Jennifer Pan. 2006. “Initiation of the National Free ART Program in Rural China,” in Joan Kaufman, Arthur Kleinman, and Tony Saich, eds. Social Policies and HIV/AIDS in China. Cambridge, MA: Harvard University Asia Center, 96-124. (PDF)
Zhang, Fujie, Pan, Jennifer, Yu, Lan, Wen, Yi, Ma Ye, Zhao, Yan. 2005. “Current Progress of China’s Free ART Program.” Cell Research. 15(11-12): 877-882. (Link)
Zhang, Fujie, Wen, Yi, Yu, Lan, Ma, Ye, Pan, Jie and Yan Zhao. 2005. “Antiretroviral Therapy for HIV/AIDS and Current Situation of China Free ARV Program.” Science and Technology Review 7(23): 24-29. (Link)