Dr. Xiaofeng Jia received her Ph.D. from University of Miami. Her research is focused on three areas: strategic communication, health communication, and quantitative and computational methodology. Her primary teaching interest is in social media strategies, and communication research methods.
Dr. Jia's research examines how the characteristics of messages and content generators shape interactions on emerging platforms (e.g., AI chatbot), and what theory-based mechanisms can help explain people’s changes in attitudes and behaviors in response to media exposure.
She has published articles in refereed journals such as Journal of Internet commerce, Journal of Product & Brand Management, Plos One, Journal of Information Science, Journal of Health Communication, Health Communication, and Health Promotion International. A full list of Dr. Jia's publications can be found on Google Scholar.
Education:
Ph.D. University of Miami, The US
M.A. Goldsmiths, University of London, The UK
Courses Taught:
MDIA3520: Social Media and Society
MC6401: Qualitative Research Methods
MC7770: Advanced Social Scientific Research Methods
Select Representative Works:
Jia, X., Zhao, X., Tao, W., & Ahn, S. (2024). From exclusion to connection: The role of anthropomorphic chatbots in shaping customer responses post-social exclusion. Journal of Internet commerce, 23(3), 205-232.
Jia, X., Ahn, S., Seelig, M. I., & Morgan, S. E. (2024). The role of Health Belief Model constructs and content creator characteristics in social media engagement: insights from COVID-19 vaccine tweets. Healthcare, 12(18), 18-45.
Jia, X., Ahn, S., & Carcioppolo, N. (2023). Measuring information overload and message fatigue toward COVID-19 prevention messages in USA and China. Health promotion international, 38(3), daac003.
