Jennifer Pan is a professor at Stanford University whose decade-plus career blends experimental and computational methods to study political communication and authoritarian politics. She uses large-scale digital datasets and field experiments to reveal how censorship, propaganda, and information manipulation sustain autocratic rule and shape citizen behavior. Trained at Princeton (A.B.) and Harvard (PhD), she brings rigorous social science methods to questions about digital-era authoritarianism, especially in China. Based in the San Francisco Bay Area, she pairs deep theoretical insight with practical data skills to analyze online political activity at scale. Her work stands out for integrating causal inference with computational text and network analysis to trace how information flows influence preferences under repression.
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