Seo Eun Yang

Seo Eun Yang (the phonetic spelling: Saw-Uhn Yang, Nickname: Sunny) is a political scientist who studies graph/network theory, deep learning, Natural Language Processing (NLP), and Computer Vision (CV). She is jointly appointed at the Department of Political Science and at the College of Arts, Media and Design. Her research interest lies at the intersection of communication, psychology, and computational social science, with an emphasis on photojournalism, visual politics, framing studies, and political neuroscience. Her research addresses two questions: (1) How do we integrate the various types of data (e.g., image, text, and social networks) simultaneously and extract the semantic meaning from them; and (2) How do media outlets, politicians, and institutions deploy visual and verbal approaches to shape political meaning through framing processes? Past research has focused on developing new methods for a machine-learning visual framing analysis to analyze the media’s responsibility for the biased representation of social minorities. She earned her BE and MS in Statistics from Korea University and a PhD in Political Science from the Ohio State University.

Research/Publications Highlights

• Seo Eun Yang, James D Wilson, Zhong-Lin Lu, Skyler Cranmer, Functional connectivity signatures of political ideology, PNAS Nexus, Volume 1, Issue 3, July 2022, pgac066,