Xiaoya Jiang

Xiaoya Jiang is a PhD candidate and Lecturer at the University of Wisconsin-Madison's School of Journalism and Mass Communication. Her research analyzes public opinion dynamics on contentious societal issues using computational methods across health, political, and strategic communication domains.

Methodology integrates survey experiments, social media analytics, NLP, machine learning, and network analysis. Current projects examine partisan polarization patterns, news consumption effects on political behavior, and vaccine discourse dynamics. Emerging interests include visual data analysis and LLM-based opinion simulation.