2019. "From the Schools to the Streets: Education and Anti-Regime Resistance in the West Bank" Comparative Political Studies 52(8): 1131-1168. [Appendix]
2017. "Recognition Matters! UN State Status and Attitudes Towards Territorial Compromise" (with Nadav G. Shelef). The Journal of Conflict Resolution 61(3): 537-563. [Appendix]
*Media coverage: OpenGlobalRights
2016. "The Effects of Authoritarian Iconography: An Experimental Test" (with Sarah Bush, Aaron Erlich and Lauren Prather). Comparative Political Studies 49(13): 1704-1738 . [Appendix]
*Media coverage: Marginal Revolution, The Monkey Cage, PsyPost
Working Papers and Projects
International recognition and support for violence among nonpartisans" (with Nadav G. Shelef, under review)
What reduces individual support for the use of violence in self-determination conflicts? We advance and test a new explanation - international recognition - for changes in popular support for violence using a survey experiment centered around the 2012 UNGA recognition of Palestine as a state. We argue that international recognition can reduce support for violence by conveying new information that shifts the expected payoffs of using violent and nonviolent strategies. This information substantially reduces support for violence among a key segment of the population, nonpartisans, who have weaker prior beliefs about the use of violence than partisans. This article deepens the incorporation of party politics into the comparative study of conflict and demonstrates that international diplomatic engagement can reduce popular support for violence in an ongoing conflict. This is important because most previously identified drivers of support for violence are either very difficult to change or change very slowly.
The Ethnicization of Syria’s Conflict: A Social Media Analysis (with Alexandra Siegel and Deen Freelon)
Ethnic conflicts are often seen as especially violent and intractable. But how and why do some conflicts become “ethnic”? Drawing on the ethnic politics literature, we propose a research design for a large-scale, systematic study of the ethnicization of conflict. We propose analyzing the online and real-world spread of ethnic narratives, frames, and interpretations of the Syrian civil war, which began as an anti-regime revolution and took on an increasingly ethno-sectarian hue. We develop a new conceptual and methodological framework to systematically map Syria’s pre-conflict ethnic structure and then use Twitter data and machine learning methods to measure ethnicization. This approach enables us to advance the constructivist literature on ethnicity and conflict by empirically testing the drivers of the ethnicization and de-ethnicization of conflict. Taking advantage of our temporally granular, networked, and georeferenced data, this project is also expected to contribute to a growing body of literature using social media data to study the microdynamics of conflict more broadly.