Keng-Chi Chang

Keng-Chi Chang is an Assistant Professor in the Department of Quantitative Social Science at Dartmouth College. His research employs computational tools including AI and Large Language Models to investigate how technology and media shape political processes. Specific interests include censorship circumvention, online image-sharing behavior, and algorithmic recommendation systems for short-form video content.

Education:
• Ph.D. Political Science (Computational Social Science), University of California San Diego
• M.S. Computer Science, University of California San Diego
• B.A. Economics, National Taiwan University

Research Focus: Chang explores the intersection of digital technology and political behavior, with emphasis on visual media analysis, censorship dynamics, and social media algorithms. His work examines how crises like COVID-19 trigger information-seeking behaviors and how platform features like live-stream chats influence political perceptions.

Publications: Recent works demonstrate a strong focus on computational methods applied to political communication, including neural network interpretability, meme propagation patterns, and image-based credibility assessment. Publications span PNAS, Journal of Communication, and premier CS conferences.

Funding & Awards:
• NSF/APSA Dissertation Grant
• Rapoport Family Foundation Research Grant