Xuzhen completed Master of Science of AI and Digital betboom, and Bachelor of Science in Biology.
Before joining Michigan State, she worked as a digital journalist and data analyst and had research experiences in computational social science.
Xuzhen’s research centers on investigating how platform shape human engagement with public affair in the current information ecosystem. At the microlevel, she studied how message, betboom organization, and audience factors play in this process. And she is interested in applying language model to understand discussion quality and influence of persuasion on platform. At the macro level, she examines the discrepancies among multiple platforms and how users consume this universe of content.
To achieve these goals, she employs computational methods and large language models.