
Jennifer Pan
Assistant Professor of Communication and, by courtesy, of Political Science and of Sociology
Web page: http://jenpan.com
Bio
Jennifer Pan is an Assistant Professor of Communication at Stanford University. Her research focuses on political communication and authoritarian politics. Pan uses experimental and computational methods with large-scale datasets on political activity in China and other authoritarian regimes to answer questions about how autocrats perpetuate their rule. How political censorship, propaganda, and information manipulation work in the digital age. How preferences and behaviors are shaped as a result.
Her book, Welfare for Autocrats: How Social Assistance in China Cares for its Rulers (Oxford, 2020) shows how China's pursuit of political order transformed the country’s main social assistance program, Dibao, for repressive purposes. Her work has appeared in peer reviewed publications such as the American Political Science Review, American Journal of Political Science, Comparative Political Studies, Journal of Politics, and Science.
She graduated from Princeton University, summa cum laude, and received her Ph.D. from Harvard University’s Department of Government.
Academic Appointments
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Assistant Professor, Communication
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Assistant Professor (By courtesy), Political Science
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Assistant Professor (By courtesy), Sociology
Program Affiliations
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Center for East Asian Studies
Professional Education
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BA, Princeton University, Woodrow Wilson School (2004)
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PhD, Harvard University, Government (2015)
2020-21 Courses
- Censorship and Propaganda
COMM 158, COMM 258 (Win) - Communication Research Methods
COMM 106, COMM 206 (Win) - Research Seminar in Computational Social Science
COMM 382B (Spr) -
Independent Studies (6)
- Advanced Individual Work
COMM 399 (Aut, Win, Spr, Sum) - Curriculum Practical Training
COMM 380 (Aut, Sum) - Honors Thesis
COMM 195 (Aut, Win, Spr, Sum) - Individual Work
COMM 199 (Aut, Win, Spr, Sum) - Individual Work
COMM 299 (Aut, Win, Spr, Sum) - Media Studies M.A. Project
COMM 290 (Aut, Win, Spr)
- Advanced Individual Work
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Prior Year Courses
2018-19 Courses
- Censorship and Propaganda
COMM 158, COMM 258 (Aut) - Communication Colloquium
COMM 390 (Aut, Win, Spr) - Communication Research Methods
COMM 106, COMM 206 (Win) - Research Seminar in Computational Social Science
COMM 382B (Win)
- Censorship and Propaganda
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Samuel Chang, Dan Muise, Tongtong Zhang -
Postdoctoral Faculty Sponsor
Xu Xu -
Master's Program Advisor
Gala Coello -
Doctoral (Program)
Ruth Elisabeth Appel, Yingdan Lu -
Postdoctoral Research Mentor
Xu Xu
All Publications
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Capturing Clicks: How the Chinese Government Uses Clickbait to Compete for Visibility
POLITICAL COMMUNICATION
2020
View details for DOI 10.1080/10584609.2020.1765914
View details for Web of Science ID 000550071300001
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How Saudi Crackdowns Fail to Silence Online Dissent
AMERICAN POLITICAL SCIENCE REVIEW
2020; 114 (1): 109–25
View details for DOI 10.1017/S0003055419000650
View details for Web of Science ID 000504568700008
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Censorship's Effect on Incidental Exposure to Information: Evidence From Wikipedia
SAGE OPEN
2020; 10 (1)
View details for DOI 10.1177/2158244019894068
View details for Web of Science ID 000517294700001
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Online field experiments
ASIAN JOURNAL OF COMMUNICATION
2019; 29 (3): 217–34
View details for DOI 10.1080/01292986.2018.1453850
View details for Web of Science ID 000467880200002
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How Chinese Officials Use the Internet to Construct Their Public Image
POLITICAL SCIENCE RESEARCH AND METHODS
2019; 7 (2): 197–213
View details for DOI 10.1017/psrm.2017.15
View details for Web of Science ID 000466762400001
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REJOINDER: THE CHALLENGES OF "MORE DATA" FOR PROTEST EVENT ANALYSIS
SOCIOLOGICAL METHODOLOGY, VOL 49
2019; 49: 76–82
View details for DOI 10.1177/0081175019866425
View details for Web of Science ID 000501594000009
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How the Market for Social Media Shapes Strategies of Internet Censorship
DIGITAL MEDIA AND DEMOCRATIC FUTURES
2019: 196–230
View details for Web of Science ID 000464289800009
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Computational Communication Science: A Methodological Catalyzer for a Maturing Discipline
INTERNATIONAL JOURNAL OF COMMUNICATION
2019; 13: 3912–34
View details for Web of Science ID 000488766000004
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CASM: A DEEP-LEARNING APPROACH FOR IDENTIFYING COLLECTIVE ACTION EVENTS WITH TEXT AND IMAGE DATA FROM SOCIAL MEDIA
SOCIOLOGICAL METHODOLOGY, VOL 49
2019; 49: 1–57
View details for DOI 10.1177/0081175019860244
View details for Web of Science ID 000501594000005
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Concealing Corruption: How Chinese Officials Distort Upward Reporting of Online Grievances
AMERICAN POLITICAL SCIENCE REVIEW
2018; 112 (3): 602–20
View details for DOI 10.1017/S0003055418000205
View details for Web of Science ID 000437428100011
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China's Newsmakers: Official Media Coverage and Political Shifts in the Xi Jinping Era
CHINA QUARTERLY
2018; 233: 111–36
View details for DOI 10.1017/S0305741017001679
View details for Web of Science ID 000428650500006
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China's Ideological Spectrum
JOURNAL OF POLITICS
2018; 80 (1): 254–73
View details for DOI 10.1086/694255
View details for Web of Science ID 000419487800033
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How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument
AMERICAN POLITICAL SCIENCE REVIEW
2017; 111 (3): 484–501
View details for DOI 10.1017/S0003055417000144
View details for Web of Science ID 000406688200004
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Conditional Receptivity to Citizen Participation: Evidence From a Survey Experiment in China
COMPARATIVE POLITICAL STUDIES
2017; 50 (4): 399-433
View details for DOI 10.1177/0010414014556212
View details for Web of Science ID 000394902400001
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How Market Dynamics of Domestic and Foreign Social Media Firms Shape Strategies of Internet Censorship
PROBLEMS OF POST-COMMUNISM
2017; 64 (3-4): 167–88
View details for DOI 10.1080/10758216.2016.1181525
View details for Web of Science ID 000402099100005
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Sources of Authoritarian Responsiveness: A Field Experiment in China
AMERICAN JOURNAL OF POLITICAL SCIENCE
2016; 60 (2): 383-400
View details for DOI 10.1111/ajps.12207
View details for Web of Science ID 000374005500007
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No! Formal Theory, Causal Inference, and Big Data Are Not Contradictory Trends in Political Science
PS-POLITICAL SCIENCE & POLITICS
2015; 48 (1): 71-74
View details for DOI 10.1017/S1049096514001760
View details for Web of Science ID 000347159500026
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Reverse-engineering censorship in China: Randomized experimentation and participant observation
SCIENCE
2014; 345 (6199): 891-891
View details for DOI 10.1126/science.1251722
View details for Web of Science ID 000340524700035
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How Censorship in China Allows Government Criticism but Silences Collective Expression
AMERICAN POLITICAL SCIENCE REVIEW
2013; 107 (2): 326-343
View details for DOI 10.1017/S0003055413000014
View details for Web of Science ID 000318942500007