PhD Candidate, Annenberg School for Communication, University of Pennsylvania
Research Fellow, Penn Tobacco Center of Regulatory Science
Location: Rubin 852
Title: “Application of Machine-Based Content Analysis in E-cigarette Information Surveillance: Automated Tracking of Prevalence, Themes, Valence and Norms”
Jiaying is a Ph.D. candidate at the Annenberg School for Communication of the University of Pennsylvania. Her primary research interest lies at the intersection of health communication, social influence, and computational social science methods. Her dissertation work focuses on understanding the underlying mechanism of social norm perception formation and how perceived norms could be optimally leveraged to promote constructive behavior changes. Jiaying currently works as a research fellow at the Penn Tobacco Center of Regulatory Science where she and her colleagues apply computational social science tools including dictionary-based, supervised and unsupervised machine learning approaches to perform automated content coding on massive tobacco-related media content available in the ever-evolving public communication environment. She has also maintained active research agendas in quantitative research methodology, and has employed meta-analytical, neuroimaging, and computational linguistic methods in her previous research.