I am a computational social scientist. I received my PhD in Political Science and MS in Statistical Science from Duke University in December 2019. My substantive research focuses on political communication under both authoritarian and democratic contexts. My methodological research focuses on text-as-data, machine learning, and Bayesian statistics. My recent research projects examine preference falsification and disinformation using original data across multiple social media platforms.
Ph.D. in Political Science, December 2019
MS in Statistical Science, December 2019
Bachelor of Social Sciences, May 2013
The University of Hong Kong
Bail, Christopher A., Lisa P. Argyle, Taylor W. Brown, John P. Bumpus, Haohan Chen, M.B. Fallin Hunzaker, Jaemin Lee, Marcus Mann, Friedolin Merhout, and Alexander Volfovsky. 2018. “Exposure to Opposing Views on Social Media Can Increase Political Polarization.” Proceedings of the National Academy of Sciences, vol. 115, no. 37: 9216–9221. Link. PDF.
Media: NYTimes, Washington Post, LATimes, BBC
Winner of APSA Political Communication Section Paul Lazarsfeld Best Paper Award, September 2019.
Chen, Haohan, and Herbert Kitschelt. Forthcoming. “Political Linkage Strategies and Social Investment Policies: Clientelism and Educational Policy in the Developing World.” The World Politics of Social Investment, Volume 1, edited by Bruno Palier and Silja Haeusermann. Oxford: Oxford University Press.
Chen, Haohan. “Lies to Friends, Truths to Strangers: Anonymity, Preference Falsification, and Opinion Polarization in Authoritarian China.”
Chen, Haohan. “Embedding Concepts and Documents in One Space: A System for Valid and Replicable Text-as-data Measurement.”
Chen, Haohan. “Bayesian Dynamic Network Modeling for Social Media Political Talk.” Thesis
Chen, Haohan. “Why the Poor Tolerate Inequality in Developing Democracies: Weak States and Clientelism.” Awarded Annual Best Prelim Exam Paper in Political Science, Duke University, 2017. Working paper
Chen, Haohan, and Brian Guay. “Tweets and Completes: Measuring Individual-level Political Attitudes Using Survey-Matched Tweets.” Poster presented at PolMeth XXXVI. Boston. July 2019.
Chen, Haohan, and Ruodan Zhang. “Mapping Nonprofits by What They Do: Word Embedding for Nonprofit Classification.” Presented at APPAM2019. Denver. November 2019.
Aldrich, John H., Haohan Chen, Victoria Dounoucos, Joshua Lerner, Pedro Magahaes, and Greg Schober. “Institutional Influences on Behavior and Selection Effects.” R&R.
Experiences at Duke Political Science
Lab Instructor and TA: Probability and Regression,* Fall 2018. Handouts and Code
Lab Instructor and TA: Advanced Regression,* Spring 2018. Handouts and Code
Instructor: Methods Bootcamp for first-year graduate students, Summer 2014, Summer 2015. LaTeX Tutorial
TA: Business, Politics, and Economic Growth, Spring 2017. Syllabus
* Graduate methods course
Experiences at Duke Statistical Science
TA: Probability (undergraduate course for statistics majors), Fall 2017.
Experiences in Computational Social Science
TA: Summer Institute in Computational Social Science, Summer 2018. Program Website
Mind Maps of Political Economy
Below are mind maps summarizing a selection of important topics of political economy. I drew them when I reviewed the literature for my qualifying exam in 2015.