My research centers around two areas: elite networks and social media. Substantively, I am interested in political elites: who they are, how they interact, and what long term consequences do these interactions have for their respective regimes. Through my training in social data analytics and my work as an RA at the Center for Social Data Analytics at Penn State, I have also been involved in projects that use digital user-created and collaborative data sources, of which social media is a part. These interests go in tandem with one another. Part of my research deals with how this type of collaborative data can help political scientists study political elites in a way that is not possible with conventional sources of data.
Sangyeon Kim, Omer F. Yalcin, Samuel Bestvater, Kevin Munger, Burt Monroe, and Bruce Desmarais. The Effects of an Informational Intervention on Attention to Anti-Vaccination Content on YouTube. In Proceedings of the Fourteenth International AAAI Conference on Web and Social Media (ICWSM) 2020. (View it here.)
Lulu Peng, Omer F. Yalcin, Shipi Dhanorkar, and Guangqing Chi. Public Emotions Contextualized by Places: An Investigation of Geotagged Tweets on the Black Lives Matter Movement, (Social Science Computer Review)
A Network Theory of Coalition Formation
Part of my dissertation, this paper models political coalition formation process as that of formation of an elite network, where individuals are free to choose their support ties given everyone’s exogenously given power and ideology.