Yue Li

Yue Li (Ph.D., The Ohio State University) is an assistant professor in Political Communication and Health. As a researcher, she uses computational social science methods to investigate the dynamic health information processing and longitudinal effects of digital media (e.g., social media and AI), particularly at the intersection of health and political communication. Her work engages and advances theories in information processing, misinformation diffusion, and media effects, and frequently leverages computational methods (social network analysis, natural language processing, and machine learning) to discern theoretical patterns in big data (e.g., text data, social network data, longitudinal survey data, and digital trace data), and thereby uniquely contributes to the understanding of the dynamic processes and outcomes of health and political communication at a relatively large scale and from a dynamic, reciprocal, network perspective. 

Her work has been published in flagship communication journals and high-impact interdisciplinary journals, such as Human Communication Research, Asian Communication Research, Journal of Medical Internet Research, and Applied Network Science.

As a teacher, she is highly experienced in teaching persuasion theories, social media, quantitative research methods, and computational research methods. She is also enthusiastic about mentoring and working with graduate students who are motivated to use computational methods to explore important prosocial research questions. 

Get to know her more from her professional website: https://www.yueliphd.net/