
Jennifer Pan
Professor of Communication, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Political Science
Web page: http://jenpan.com
Bio
Jennifer Pan is a Professor of Communication and a Senior Fellow at the Freeman Spogli Institute 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
-
Professor, Communication
-
Senior Fellow, Freeman Spogli Institute for International Studies
-
Professor (By courtesy), Political Science
-
Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
Program Affiliations
-
Center for East Asian Studies
Professional Education
-
BA, Princeton University, School of Public and International Affairs (2004)
-
PhD, Harvard University, Government (2015)
2022-23 Courses
- Communication Research Methods
COMM 106, COMM 206 (Aut) - Digital Repression
COMM 383 (Aut) -
Independent Studies (8)
- Advanced Individual Work
COMM 399 (Aut, Win, Spr, Sum) - Capstone Project: Human Rights Minor
HUMRTS 199 (Aut) - Curriculum Practical Training
COMM 380 (Win, Spr, 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) - Senior Thesis
INTNLREL 198 (Aut, Win, Spr)
- Advanced Individual Work
-
Prior Year Courses
2021-22 Courses
- Censorship and Propaganda
COMM 158, COMM 258 (Win) - Communication Colloquium
COMM 390 (Win, Spr) - Communication Research Methods
COMM 106, COMM 206 (Aut) - Digital Repression
COMM 383 (Win)
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)
- Censorship and Propaganda
Stanford Advisees
-
Doctoral Dissertation Reader (AC)
Catherine Chen -
Doctoral Dissertation Advisor (AC)
Yingdan Lu -
Master's Program Advisor
Cameron Adams, Kelly Kim, Sarah Lehman -
Doctoral (Program)
Ruth Elisabeth Appel, Matt DeButts, Yingdan Lu
All Publications
-
How Information Flows from the World to China
INTERNATIONAL JOURNAL OF PRESS-POLITICS
2022
View details for DOI 10.1177/19401612221117470
View details for Web of Science ID 000837345900001
-
How government-controlled media shifts policy attitudes through framing
POLITICAL SCIENCE RESEARCH AND METHODS
2022; 10 (2): 317-332
View details for DOI 10.1017/psrm.2021.35
View details for Web of Science ID 000777984100008
-
The digital repression of social movements, protest, and activism: A synthetic review.
Science advances
2022; 8 (10): eabl8198
Abstract
Repression research examines the causes and consequences of actions or policies that are meant to, or actually do, raise the costs of activism, protest, and/or social movement activity. The rise of digital and social media has brought substantial increases in attention to the repression of digital activists and movements and/or to the use of digital tools in repression, which is spread across many disciplines and areas of study. We organize and review this growing welter of research under the concept of digital repression by expanding a typology that distinguishes actions based on actor type, whether actions are overt or covert, and whether behaviors are shaped by coercion or channeling. This delineation between broadly different forms of digital repression allows researchers to develop expectations about digital repression, better understand what is "new" about digital repression in terms of explanatory factors, and better understand the consequences of digital repression.
View details for DOI 10.1126/sciadv.abl8198
View details for PubMedID 35263143
-
Selectively localized: Temporal and visual structure of smartphone screen activity across media environments
MOBILE MEDIA & COMMUNICATION
2022
View details for DOI 10.1177/20501579221080333
View details for Web of Science ID 000761615000001
-
Does ideology influence hiring in China? evidence from two randomized experiments
POLITICAL SCIENCE RESEARCH AND METHODS
2022
View details for DOI 10.1017/psrm.2021.77
View details for Web of Science ID 000750662100001
-
Response to Manfred Elstrom's Review of Welfare for Autocrats: How Social Assistance in China Cares for its Rulers
PERSPECTIVES ON POLITICS
2021; 19 (4)
View details for DOI 10.1017/S1537592721003212
View details for Web of Science ID 000728285000025
-
Workers and Change in China: Resistance, Repression, Responsiveness (Book Review)
PERSPECTIVES ON POLITICS
2021; 19 (4): 1274-1276
View details for DOI 10.1017/S1537592721002851
View details for Web of Science ID 000728285000022
-
Response to Manfred Elstrom's Review of Welfare for Autocrats: How Social Assistance in China Cares for its Rulers
PERSPECTIVES ON POLITICS
2021; 19 (4): 1278-1279
View details for Web of Science ID 000728285000108
-
Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them.
Human-computer interaction
2021; 36 (2): 150-201
Abstract
Digital experiences capture an increasingly large part of life, making them a preferred, if not required, method to describe and theorize about human behavior. Digital media also shape behavior by enabling people to switch between different content easily, and create unique threads of experiences that pass quickly through numerous information categories. Current methods of recording digital experiences provide only partial reconstructions of digital lives that weave - often within seconds - among multiple applications, locations, functions and media. We describe an end-to-end system for capturing and analyzing the "screenome" of life in media, i.e., the record of individual experiences represented as a sequence of screens that people view and interact with over time. The system includes software that collects screenshots, extracts text and images, and allows searching of a screenshot database. We discuss how the system can be used to elaborate current theories about psychological processing of technology, and suggest new theoretical questions that are enabled by multiple time scale analyses. Capabilities of the system are highlighted with eight research examples that analyze screens from adults who have generated data within the system. We end with a discussion of future uses, limitations, theory and privacy.
View details for DOI 10.1080/07370024.2019.1578652
View details for PubMedID 33867652
View details for PubMedCentralID PMC8045984
-
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
-
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
-
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
-
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
-
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
-
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
-
Screenomics: a framework to capture and analyze personal life experiences and the ways that technology shapes them
Human-Computer Interaction
2019
View details for DOI 10.1080/07370024.2019.1578652
-
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
-
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
-
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
-
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
-
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
-
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
-
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
ASSOC COMPUTATIONAL LINGUISTICS-ACL. 2018: 3570-3580
View details for Web of Science ID 000865723403082
-
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
-
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
-
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
-
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
-
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
-
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
-
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