Sian Lee

Sian Lee is an Assistant Professor in the Department of Media & Information at Michigan State University. He earned a Ph.D. in Informatics with a minor in Statistics from the College of Information Sciences and Technology at Pennsylvania State University and holds a master’s degree in Economics.

His research is in computational social science, focusing on how information environments, media content, and emerging technologies shape people’s beliefs and decisions. His research interests include misinformation, sport analytics, and generative AI.

He uses computational and statistical methods, including machine learning, text analysis, and statistical modeling. His research examines how people interpret and respond to narratives, claims, and sources in digital information environments. He also uses data-driven approaches to identify patterns and examine potential biases in sports, draws on economic theory to study the alignment of large language models with human preferences, and investigates how scholarly communities respond to generative AI through policies governing its use in academic writing.

His work has been published in the Journal of Experimental Psychology: Applied, Media Psychology, Communications of the ACM, Harvard Kennedy School Misinformation Review, and Journal of Physical Activity and Health, as well as in the proceedings of the ACM CHI Conference and the International AAAI Conference on Web and Social Media (ICWSM).

He serves as Section Editor for Big Data Analytics and AI at Measurement in Physical Education and Exercise Science and Associate Editor for the Data Science section of Frontiers in Big Data. His doctoral dissertation was selected as a finalist for the 2025 iSchools Doctoral Dissertation Award.