Research project predicting edit wars on Wikipedia pages related to armed conflicts, achieving over 80% accuracy in forecasting page locks. Developed as a collaboration combining my thesis work with a classmate’s research demonstrating that territorial disputes in the Russo-Ukrainian war are reflected on corresponding Wikipedia pages. The project highlights how the information we read is dynamic and underscores the importance of being aware of the digital conflicts shaping public knowledge.

Study examining opinion dynamics and polarization in social networks using an adjusted Deffuant-Weisbuch model. Introduced a practical definition of polarization and the concept of “Peacemaker” nodes, which counteract zealots to stabilize network opinions. Key findings include a near-linear link between network size and time to polarization, and the ability of Peacemaker nodes to maintain steady opinions across varying compromise parameters.

No manuscript is currently available, but a video of the slides being presented at UCLA Scholars Report is linked below.