List of Publications
Refereed Journal Articles
Jia, C.* & Lee, T*. (2024). Journalistic interventions matter: Understanding how Americans perceive fact-checking labels. Harvard Kennedy School (HKS) Misinformation Review, 5(2). https://doi.org/10.37016/mr-2020-138
*the first and second authors contributed equally to this work and are listed alphabetically
Lukito, J., Lee, T., Martin, Z., Glover, K., Hu, A., & Cui, Z. (2023) Connective Action in Myanmar: A Mixed-Methods Analysis of the Spring Revolution.Information, Communication, and Society. https://doi.org/10.1080/1369118X.2023.2289973
Lee, T., Johnson, T.J., Jia, C., & Lacasa-Mas, I. (2023). When and How Social Media
Users Become Misinformed: The Roles of News-Finds-Me Perception and Misinformation Exposure in COVID-19 Misperception. New Media and Society. https://doi.org/10.1177/14614448231202480
Ozawa, J, Lukito, J., Lee, T., Varma, A, & Alves. R. (2023). Attacks Against Journalists in Brazil: Catalyzing Effects and Resilience During Jair Bolsonaro's Government. International Journal of Press/Politics. https://doi.org/10.1177/19401612231182618 [PDF]
Masullo, G. M., Wilhelm, C., Lee, T., Riedl, M. J., Gonçalves, J., & Stroud, N. (2022). Signaling News Outlet Trust in a Google Knowledge Panel: A Conjoint Experiment in Brazil, Germany, and the United States, New Media & Society. https://doi.org/10.1177/14614448221135860 [PDF]
Koo, G.H., Johnson, T. J., Lee, T., & Jia, C. (2022). Politically Contested Beliefs: Support for Trump Better Predicts Having Inaccurate Beliefs About COVID-19 Than Conservative/Republican Political Identity, Mass Communication and Society. https://doi.org/10.1080/15205436.2022.2144380 [PDF]
Lee, T., Santillana, M., Lacasa, I., & Ashe, I. (2022). Antecedents and Consequences of Americans’ COVID-19 Conspiracy Beliefs: A Focus on Support for Trump, Populism, Institutional Trust, Media Consumption, and Mask-Wearing Attitudes, International Journal of Public Opinion Research. https://doi.org/10.1093/ijpor/edac019 [PDF]
Lee, T., & Koo, G.H. (2022). What Drives Belief in COVID-19 Conspiracy Theories? Examining the Role of Uncertainty, Negative Emotions, and Perceived Relevance and Threat, Health Communication.
https://doi.org/10.1080/10410236.2022.2134703 [PDF]
Lukito, J., Cui, Z. Hu, A., Lee, T., & Ozawa, J.V. (2022). States vs. Social Movements: Protests and State Repression in Asia. Media and Communication. https://doi.org/10.17645/mac.v10i4.5623
Lee, T., Johnson, T. J., & Weaver, D. (2022). Navigating the Coronavirus Infodemic: Exploring the Impact of Need for Orientation, Epistemic Beliefs and Type of Media Use on Knowledge and Misperception about COVID-19, Mass Communication and Society. https://doi.org/10.1080/15205436.2022.2046103
Lee, T., Johnson, T. J., & Sturm, H.A. (2022). You Can’t Handle the Lies!: Exploring the Role of Gamson Hypothesis in Explaining Third-person Perceptions of Being Fooled by Fake News and Fake News Sharing. Mass Communication and Society. https://doi.org/10.1080/15205436.2022.2026401
Masullo, G.M., Lee, T., & Riedl, M. (2021). Signaling Credibility at the Domain Level: Can Google Knowledge Panel Cue News Outlet Trustworthiness? Journalism and Mass Communication Quarterly.
https://doi.org/10.1177/10776990211047964
Peifer, J. T., Lee, T., & Koo, G. H. (2021). Selectively sharing satirical news: Strengthening an empirical understanding of how agreement, mirth, and perceived informativeness contribute to the diffusion of mediated comedy. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2021.107108
Lee, T. (2021). How people perceive the influence of fake news and why it matters. Communication Quarterly. 69(4), 431-453. https://doi.org/10.1080/01463373.2021.1954677
[Free acesss] [PDF]
Book Chapters
Johnson, T. J. & Lee, T. (2024). Social media and political behavior. In Z. Yan. (Ed.) The Cambridge Handbook of Cyber Behavior. (pp. 696-736). Cambridge University Press.
Lee, T. & Jia, C . (2023). Curse or Cure? The Role of Algorithms in Fostering or Countering Information Disorder. In M. Filimowicz (Ed.) Routledge Focus: Algorithms and Society. DOI: 10.4324/9781003299936-2
Johnson, T. J., Wallace, R., & Lee, T. (2022). How social media serve as a super spreader of misinformation, disinformation and conspiracy theories regarding health crises. In The Emerald Handbook of Computer-Mediated Communication and Social Media. Emerald Publishing. https://doi.org/10.1108/978-1-80071-597-420221005
# Peifer, J. T. & Lee, T. (2019). Satire and Journalism. In Oxford Research Encyclopedia of Communication. Oxford University Press. https://doi.org/10.1093/acrefore/9780190228613.013.871
# indicates a peer-reviewed chapter
White Papers (Grant Reports)
Lee, T., Wilhelm, C., Masullo, G. M., Riedl, M. J., Gonçalves, J., & Stroud, N. (2021). How to cue news trust in the Google Knowledge Panel. Report published by the Center for Media Engagement, The University of Texas at Austin. [PDF]
* funded through a grant from Google News to the Center for Media Engagement
Lee, T., Masullo, G., & K. Phebillo, K. M. (2020). Keep it Simple to Inform People About Registering to Vote. Center for Media Engagement. Report published by the Center for Media Engagement, The University of Texas at Austin. [PDF]
* funded through a grant from Democracy Fund to the Center for Media Engagement