Jon Green

Jon Green

Assistant Professor, Duke University

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

How is voting (not) like buying a hot dog?

9 minute read

Published:

Imagine a beach with two hot dog vendors and a crowd of hungry vacationers. Each vacationer will buy a hot dog from the vendor located closest to their spot on the beach. Where should each vendor set up shop if they want to maximize their sales?

portfolio

publications

Online Engagement with 2020 Election Misinformation and Turnout in the 2021 Georgia Runoff Election

Proceedings of the National Academy of Sciences, 2022

Finds relationships between public engagement with 2020 election conspiracy theories on Twitter and turnout in the 2021 Georgia runoff election.

Recommended citation: Green, Jon, William Hobbs, Stefan McCabe, and David Lazer. 2022. "Online Engagement with 2020 Election Misinformation and Turnout in the 2021 Georgia Runoff Election." Proceedings of the National Academy of Sciences 119(34): e2115900119.
External link

Machine Learning for Experiments in the Social Sciences

Cambridge University Press, Elements Series in Experimental Political Science, 2023

A practical introduction to machine learning for readers who are familiar with experiments.

Recommended citation: Green, Jon, and Mark H. White II. 2023. Machine Learning for Experiments in the Social Sciences. Cambridge University Press, Elements Series in Experimental Political Science.
External link

Users choose to engage with more partisan news than they are exposed to on Google Search

Nature, 2023

Finds limited evidence that users’ search results systematically differ by user partisanship, but stronger evidence that users’ engagement with search results does.

Recommended citation: Robertson, Ronald E., Jon Green, Damian Ruck, Katherine Ognyanova, Christo Wilson, and David Lazer. 2023. "Users choose to engage with more partisan news than they are exposed to on Google Search." Nature 618: 342-348.
External link

Something to Run For: Stated Motives as Indicators of Candidate Emergence

Political Behavior, 2023

Finds that prospective candidates for state and local office who articulated their interest in localized and goal-congruent terms were likelier to actually run for office than those who articulated their interest in more general or nationalized terms.

Recommended citation: Green, Jon, Meredith Conroy, and Ciera Hammond. 2023. "Something to Run For: Stated Motives as Indicators of Candidate Emergence." Political Behavior.
External link

Inequalities in Online Representation: Who follows their own member of Congress on Twitter?

Journal of Quantitative Description: Digital Media, 2023

Finds that Twitter users who follow their own member of Congress are older, live in wealthier areas of their district, and are more politically and demographically similar to the member than users who do not.

  • Recipient of the 2024 Best Article award from the Information Technology & Politics section of the American Political Science Association.

Recommended citation: McCabe, Stefan, Jon Green, Pranav Goel, and David Lazer. 2023. "Inequalities in Online Representation: Who follows their own member of Congress on Twitter?." Journal of Quantitative Description: Digital Media, 3.
External link

Curation Bubbles

American Political Science Review, 2025

Aligning theory and measurement in political information sharing on social media.

Recommended citation: Green, Jon, Stefan McCabe, Sarah Shugars, Hanyu Chwe, Luke Horgan, Shuyang Cao, and David Lazer. 2025. "Curation Bubbles." American Political Science Review, FirstView.
External link

Meet the Press: Gendered Conversational Norms in Televised Political Discussions

Journal of Politics, 2025

Testing relationships between gender composition, conversational norms, and participatory equality in televised political discussions.

Recommended citation: Naftel, Daniel, Jon Green, Kelsey Shoub, Jared Edgerton, Mallory Wagner, and Skyler Cranmer. 2025. "Meet the Press: Gendered Conversational Norms in Televised Political Discussion." Journal of Politics, 87(3)
External link

Using co-sharing to identify use of mainstream news for promoting potentially misleading narratives

Nature Human Behavior, 2025

Uses co-sharing behavior and narrative extraction to identify cases of true information from reliable sources being strategically repurposed to promote potentially misleading narratives.

Recommended citation: Goel, Pranav, Jon Green, David Lazer, and Philip Resnik. 2025. "Using co-sharing to identify use of mainstream news for promoting potentially misleading narratives." Nature Human Behavior.
External link

talks

teaching

The Pandemic and the People: Lessons for U.S. Democracy

Undergraduate course, Northeastern University, Department of Political Science, 2022

This course explored major public policy issues and challenges facing American democracy that were placed in stark relief by the COVID-19 pandemic. Each session considered a different theme. We drew heavily on insights from the COVID States Project, a monthly survey of all 50 states on attitudes and behaviors around COVID and various other issues that have arisen during the pandemic. Themes included (but were not limited to): public trust, public health infrastructure, health communication, partisan polarization, socio-economic inequality, racism, executive leadership, misinformation, the proper role of federalism, fiscal policy during crises, and mental health. The course was predominantly focused on the United States, though addressed some international aspects.

Research Methods in the Social Sciences

Graduate course, Northeastern University, Department of Political Science, 2023

This class provided a high-level introduction for students who wished to learn how to conduct and evaluate social science research at the graduate and professional level. While we introduced specific methods, we focused on general principles and perspectives of the social sciences. The goals of the class were to assess scholarly literature in the social sciences, to identify interesting research questions, to formulate strategies for answering them, to understand which qualitative or quantitative tools will best address a given theoretical question, and to know how and where to find the resources that would later help one develop further expertise.

Introduction to U.S. Politics

Undergraduate course, Duke University, Department of Political Science, 2023

Political scientists commonly refer to politics as the process of deciding who gets what. This course addresses questions concerning how politics works in the United States. Why does the United States have its system of government, how can we evaluate whether it is working as intended, and how might we change it? What is public opinion, and how does it bear on public policy? How do people decide whether to vote and who to vote for? In short, how does the United States decide who gets what?

Campaigns and Elections

Undergraduate course, Duke University, Department of Political Science, 2023

Political theorist Adam Przeworski succinctly described democracy as “a system in which parties lose elections.” But how are elections organized, what are political parties, and what factors determine who wins and loses? How do candidates and campaigns compete for votes, and how do voters choose between them? This course addresses these questions, among others related to campaigns and elections, with a focus on the United States. It is conducted in an unstructured seminar style with a heavy emphasis on reading, in-class discussion, and written engagement with foundational and cutting-edge political science scholarship.

Probability and Basic Regression

Graduate course, Duke University, Department of Political Science, 2024

This course covers basic techniques in quantitative political analysis with a focus on linear regression. It introduces students to widely used procedures for regression analysis, and provides intuitive, applied, and formal foundations for linear regression as well as some extensions.