My research in computational communication focuses on how people express their political views, reason about political issues, and engage with others around matters of common concern. I study these phenomena in a variety of settings using a range of methods, including human-subject experiments; large observational corpora of social media and debate transcripts; and dynamic models. View my full CV.


Pandemics, Protests, and Publics: Demographic Activity and Engagement on Twitter in 2020
Sarah Shugars, Adina Gitomer, Stefan McCabe, Ryan J. Gallagher, Kenneth Joseph, Nir Grinberg, Larissa Doroshenko, Brooke Foucault Welles, and David Lazer.  Journal of Quantitative Description: Digital Media, 1. 2021.

Sustained Amplification of COVID-19 Elites in the United States
Ryan J. Gallagher, Larissa Doroshenko, Sarah Shugars, David Lazer, and Brooke Foucault Welles. Social Media + Society, 2021.

Building a Bigger Table: Networking 101 for Graduate Students
Seo-young Silvia Kim, Hannah Lebovits, and Sarah Shugars (Authors listed in alphabetical order). PS: Political Science & Politics, forthcoming.

One outstanding path from A to B
Sarah Shugars and Samuel V. Scarpino. Nature Physics. 2021.

Good Decisions or Bad Outcomes? A Model for Group Deliberation on Value-Laden Topics
Sarah Shugars
Communication Methods and Measures, June 2020

Why Keep Arguing? Predicting Participation in Political Conversations Online
Sarah Shugars and Nick Beauchamp
SAGE Open: Social Media and Political Participation Global Issue, March 2019

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse
Xingshan Zeng, Jing Li, Lu Wang, Nick Beauchamp, Sarah Shugars, and Kam-Fai Wong
Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2018

Games for Civic Renewal
Joshua A. Miller, Sarah Shugars, and Daniel Levine
The Good Society, June 2018

Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes
Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin
Transactions of the Association for Computational Linguistics (TACL), July 2017.

Under Review and Working Papers
The Structure of Reasoning: Measuring Justification and Preferences in Text
Sarah Shugars
working paper

How the resilience of experts to numeric and linguistic peer information improves collective intelligence
Nick Beauchamp, Briony Swire-Thompson, Sarah Shugars, and David Lazer

A Bayesian Model of Engagement in Online Arguments
Sarah Shugars and Nick Beauchamp

Mapping Conceptual Networks
Sarah Shugars, Nick Beauchamp, and Peter Levine

View my full CV.