Follow the Echo Chamber: Ideological Sorting on Twitter
Abstract:
While numerous studies examine the relationship between social media and political behavior, scholars continue to debate its effects on political polarization. To inform this debate, we measure the effect of social media echo chambers on public opinion by evaluating 40,000 tweets around major breaking news stories, and comparing pre-and post-event policy positions amongst far and moderate right, and far and moderate left groups on Twitter. Our research improves on current approaches of measuring polarization by combining network analysis with supervised machine learning to examine what sampled individuals within different social media networks actually say about political topics. We find that individuals’ opinions on a variety of political issues converge on the modal opinion of media elites within their echo chamber following large-scale media events. We use this evidence to argue that people become more ideologically sorted—rather than more ideologically polarized—vis-à-vis social media echo chambers.
Speaker Bio:
Laura Jakli is a Predoctoral Fellow at the Center on Democracy, Development and the Rule of Law at Stanford University, and a Ph.D. Candidate in the Department of Political Science at the University of California, Berkeley. Her dissertation draws on digital survey and ad experiments, machine learning, and qualitative fieldwork to examine the relationship between digital politics and political radicalization. Her related research examines how digital networks shape migration patterns and refugee behavior. Her research appears in International Studies Quarterly and the Virginia Journal of International Law. Her co-authored book chapter is forthcoming in Democratization (Oxford University Press).
Laura Jakli
I am a Junior Fellow at the Harvard Society of Fellows. Starting in 2023, I will be an Assistant Professor at Harvard Business School's Business, Government and the International Economy (BGIE) unit.
My research examines political extremism, destigmatization, and radicalization, focusing on the role of popularity cues in online media. My related research examines a broad range of threats to democratic governance, including authoritarian encroachment, ethnic prejudice in public goods allocation, and misinformation.
My dissertation won APSA's Ernst B. Haas Award for the best dissertation on European Politics. I am currently working on my book project, Engineering Extremism, with generous funding from the William F. Milton Fund at Harvard.
My published work has appeared in the American Political Science Review, Governance, International Studies Quarterly, Public Administration Review, and the Virginia Journal of International Law, along with an edited volume in Democratization (Oxford University Press). My research has been featured in KQED/NPR, The Washington Post, and VICE News.
I received my Ph.D. in Political Science at the University of California, Berkeley in 2020. I was a Predoctoral Research Fellow at the Center on Democracy, Development and the Rule of Law at Stanford University and the Stanford Program on Democracy and the Internet. I hold a B.A. (Magna Cum Laude; Phi Beta Kappa) from Cornell University and an M.A. (with Distinction) from the University of California, Berkeley.