Herbert Chang

|Assistant Professor
Academic Appointments

  • Assistant Professor of Quantitative Social Science

  • Adjunct Assistant Professor of Mathematics and Computer Science

Connect with Us

Herbert Chang is a computational social scientist who studies social networks, online politics, and how technology shapes human behavior. His prior work covered the 2020 United States and Taiwanese Presidential Elections, the George Floyd protests, and the Russian invasion of Ukraine. His work has been featured in the New York Times, the Washington Post, Scientific American, and Forbes 30 Under 30 for Science. His Computational Social Science Group applies machine learning and computational techniques to answer social questions, as well as using investigative and data journalistic approaches to tell compelling human stories.

Personal Website

Contact

Herbert.Chang@dartmouth.edu
Silsby, Room 124
HB 6227

Department(s)

Quantitative Social Science

Education

  • B.A. Dartmouth College
  • M.Sc. University of Edinburgh
  • Ph.D. University of Southern California

Selected Publications

  • Herbert Chang, Brooke Harrington, Feng Fu, and Dan Rockmore (2023). Complex Systems of Secrecy: The Offshore Network of Oligarchs. PNAS Nexus.

    Herbert Chang, Allissa Richardson, and Emilio Ferrara (2022). #JusticeForGeorgeFloyd: How Instagram Facilitated the 2020 Black Lives Matter Movement. PLOS One.

    Matt Bui, Herbert Chang, Charlton McIlwain (2022). Targeted Ads: The Infrastructure for Algorithmic Discrimination. Center for Critical Race + Digital Studies. 

    Herbert Chang, Samar Hai, and Emilio Ferrara (2021). Digital Civic Participation and Misinformation during the 2020 Taiwanese Presidential Election. Communication and Media.

    Herbert Chang and Feng Fu (2021). Elitism in Mathematics and Inequality. Nature Humanities and Social Science Communications.

    Emily Chen, Herbert Chang, Ashwin Rao, George Cowan, Kristina Lerman, and Emilio Ferrara (2021).  COVID-19 Misinformation and the 2020 USA Presidential Elections.  Harvard Misinformation Review.