Staff: Leeann N. Siegel, Ph.D., M.P.H.
Leeann N. Siegel, Ph.D., M.P.H.
Cancer Research Training Award Postdoctoral Fellow
Leeann Siegel, Ph.D., M.P.H., is a Cancer Research Training Award postdoctoral fellow in the Tobacco Control Research Branch (TCRB). Leeann is interested in applying the methods and theories of communication research to help inform tobacco cessation interventions and address tobacco-related health disparities.
Leeann is also interested in examining how media influences people's health-related behaviors and cognitions. Her past research has explored how media shapes people's norm perceptions, beliefs, and policy opinions, as well as the role of media in spreading misinformation.
Leeann completed her Ph.D. in Health Communication at the University of Pennsylvania's Annenberg School for Communication. Her dissertation combined content analysis and online experiments to examine how tobacco use depictions in media affect young people's smoking-related norm perceptions. Prior to completing her doctoral studies, Leeann earned a master's degree in public health from the Harvard T.H. Chan School of Public Health, where she studied Social & Behavioral Studies. She also holds a Bachelor of Arts from Cornell University.
- Tobacco Control and Cessation, Health Communication, Health Disparities
Selected Publications and Presentations
- Siegel LN, Levin AV, Kranzler EC, Gibson LA. Do Longitudinal Trends in Tobacco 21-Related Media Coverage Correlate with Policy Support? an Exploratory Analysis Using Supervised and Unsupervised Machine Learning Methods. Health Commun 2020 Sep 8:1-10.
- Woko C, Siegel L, Hornik R. An Investigation of Low COVID-19 Vaccination Intentions among Black Americans: The Role of Behavioral Beliefs and Trust in COVID-19 Information Sources. J Health Commun 2020 Oct 2; 25(10):819-826.
- Liu J, Siegel L, Gibson LA, Kim Y, Binns S, Emery S, Hornik RC. Toward an Aggregate, Implicit, and Dynamic Model of Norm Formation: Capturing Large-Scale Media Representations of Dynamic Descriptive Norms Through Automated and Crowdsourced Content Analysis. 2019 Dec; 69(6):563-588.
- Gibson LA, Siegel L, Kranzler E, Volinsky A, O'Donnell MB, Williams S, Yang Q, Kim Y, Binns S, Tran H, Maidel Epstein V, Leffel T, Jeong M, Liu J, Lee S, Emery S, Hornik RC. Combining Crowd-Sourcing and Automated Content Methods to Improve Estimates of Overall Media Coverage: Theme Mentions in E-cigarette and Other Tobacco Coverage. J Health Commun 2019; 24(12):889-899.