
Understanding the effect of international social ties on domestic ideological polarization is challenging because the counterfactual—what would have happened without cross-border links—cannot be directly observed. This study uses a new statistical approach to estimate that missing comparison and separate polarization into domestic and transnational components following the Arab Uprisings.
📊 Twitter Data From Egypt and Tunisia in 2013
A dataset of Twitter accounts in Egypt and Tunisia was assembled for the critical year 2013, when the Egyptian military overthrew Islamist President Mohamed Morsi.
🔬 A Bayesian Item-Response Approach to Isolate Cross-Border Effects
A Bayesian item-response theory model is applied to disaggregate observed polarization into domestic and transnational components, providing an estimate of polarization both with and without international social connections.
📈 Key Findings
❗️ Why It Matters
These results show that transnational social ties can both amplify and attenuate domestic polarization in moments of political crisis. Identifying and measuring those cross-border effects requires methods that separate domestic dynamics from international influence—an essential consideration for scholars and policymakers studying polarization around uprisings and coups.

| When Groups Fall Apart: Identifying Transnational Polarization During the Arab Uprisings was authored by Robert Kubinec and John Owen. It was published by Cambridge in Pol. An. in 2021. |