Democracy and Information Group
Select Journal Articles
- Dias, N., Lelkes, Y. (In Press). "The Partisan Roots of Affective Polarization: Disentangling Partisanship from Policy Positions." American Journal of Political Science.
- Mukerjee, S., & Yang, T. (2020). "Choosing to Avoid? A Conjoint Experimental Study to Understand Selective Exposure and Avoidance on Social Media." Political Communication, 1-19.
- Fischer, S., Jaidka, K, Lelkes, Y. (2020). "Topical biases in local news curation: an audit of Google News." Nature Human Behavior.
- Moore-Berg, S. L., Parelman, J. M., Lelkes, Y., & Falk, E. B. (2020). "Neural polarization and routes to depolarization." Proceedings of the National Academy of Sciences, 117(46), 28552-28554.
- Westwood, S. J., Messing, S., & Lelkes, Y. (2020). "Projecting confidence: How the probabilistic horse race confuses and demobilizes the public." The Journal of Politics, 82(4), 1530-1544.
- Jaidka, K., Zhou, A., & Lelkes, Y. (2019). "Brevity is the soul of Twitter: The constraint affordanceand political discussion." Journal of Communication, (69)4, 345-372.
- "How Google is hurting local news." Washington Post, December 22, 2020.
- "Election forecasts helped elect Trump in 2016. It could happen again in 2020." USA Today, October 1, 2020.
- "Our study found little evidence that Twitter is biased against conservative opinion leaders." Washington Post, July 9, 2020.
"Twitter got somewhat more civil when tweets doubled in length. Here’s how we know." Washington Post, September 17, 2019.
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