Sian Lee

Sian Lee is an Assistant Professor of Scholar Support and Data Services (SSDS) at the University of Mississippi. She specializes in computational methods to enhance research capabilities and digital literacy across academia. Her primary research explores computational social science, focusing on how computational techniques like NLP, ML, and deep learning can analyze human decision-making and behavior. She holds a Ph.D. in Informatics and an M.A. in Economics from Pennsylvania State University.

• Education: M.A. Economics (2018), Ph.D. Informatics (2024), Pennsylvania State University

Her research interests span misinformation dynamics, AI-driven solutions for fact-checking, and experimental psychology. She actively teaches workshops on LaTeX, Python programming, and text data analysis using Kaggle datasets. Lee serves on committees for Applied Statistics, Digital Scholarship, and AI initiatives at the university.

Her publications analyze the impact of partisan fact-checkers, generative AI policies, and correction strategies for misinformation. Notable works include studies on associative inference’s role in susceptibility to fake news and the effectiveness of correction comments during public health crises.