Elisabeth Bigsby studies persuasive health messages, such as anti-smoking campaigns, with a particular interest in how message features influence how people perceive and process health messages. Her overall interest is to understand how health information influences health-related attitudes, behavioral intentions, and behaviors.
Prior to UIUC, Dr. Bigsby held positions at Northeastern University in Boston and the Center of Excellence in Cancer Communication Research at the Annenberg School for Communication at the University of Pennsylvania. Before completing her graduate studies, Dr. Bigsby spent three years working in the not-for-profit sector, including one year as an AmeriCorps volunteer.
Ph.D., Communication, University of Georgia
M.A., Health Communication, Michigan State University
B.A., Communication, Michigan State University
CMN 345: Visual Media Effects
CMN 421: Persuasion Theory & Research
CMN 529: Message Design & Effects
CMN 595: eHealth (HCOM)
Rader, K., Hovick, S. R., & Bigsby, E. (Accepted/In press). “Are You Clean?” Encouraging STI Communication in Casual Encounters through Narrative Messages in Romance Novels. Communication Studies. https://doi.org/10.1080/10510974.2021.1899006
Hovick, S. R., Bigsby, E., Wilson, S. R., & Thomas, S. (Accepted/In press). Information Seeking Behaviors and Intentions in Response to Environmental Health Risk Messages: A Test of A Reduced Risk Information Seeking Model. Health communication. https://doi.org/10.1080/10410236.2020.1804139
Reynolds-Tylus, T., Bigsby, E., & Quick, B. L. (Accepted/In press). A Comparison of Three Approaches for Measuring Negative Cognitions for Psychological Reactance. Communication Methods and Measures, 15(1), 43-59. https://doi.org/10.1080/19312458.2020.1810647
Bigsby, E., Bigman, C. A., & Martinez Gonzalez, A. (2019). Exemplification theory: a review and meta-analysis of exemplar messages. Annals of the International Communication Association, 43(4), 273-296. https://doi.org/10.1080/23808985.2019.1681903
Bigsby, E., & Hovick, S. R. (2018). Understanding Associations between Information Seeking and Scanning and Health Risk Behaviors: An Early Test of the Structural Influence Model. Health communication, 33(3), 315-325. https://doi.org/10.1080/10410236.2016.1266575