Jieun Shin, Ph.D.
Associate Professor - Department of Media Production, Management, and Technology
Office: 2066D Weimer
Phone: 352-293-3197
Email: jieun.shin@ufl.edu
Jieun Shin, Ph.D.
Associate Professor - Department of Media Production, Management, and Technology
Jieun Shin is an Associate Professor in the Department of Media Production, Management, and Technology in the College of Journalism and Communications at the University of Florida. She teaches and researches social media dynamics with a focus on the spread of misinformation and fact-checking.
She has published in academic journals such as the Journal of Communication, Digital Journalism, New Media & Society, Mass Communication and Society, Social Media + Society, Computers and Human Behavior, and Journal of Health Communication. Jieun has co-authored two books examining how technology has transformed society. She received Emerging Scholar awards from AEJMC in 2022 and won the Nafziger-White-Walwen Dissertation Award in 2017. Prior to joining UF, Jieun was an NIH-funded postdoctoral research fellow at the Center for Applied Network Analysis in the Department of USC Preventive Medicine.
She received her Ph.D. from the Annenberg School for Communication & Journalism, University of Southern California. Previously, Jieun worked as a journalist for six years at the Chosun Daily, South Korea’s largest newspaper. Her work has won numerous prizes for journalistic excellence, including the “Citibank Journalism Award.” She was also named by Asia Society as one of 21 Young Leaders in 2012.
Areas of Expertise
Audience Analytics, Disinformation / Misinformation, International Journalism, Media Sociology, Social Media
Education
Ph.D., Annenberg School for Communications and Journalism, University of Southern California
M.A., Annenberg School for Communications and Journalism, University of Southern California
B.A., Korea University
News
- UFCJC faculty members receive 2026-2027 professional development leave and sabbaticals (May 6, 2026)
- UFCJC Atlas Lab to host Computational Social Science Summer institute in June 2026 (March 4, 2026)
- Nathan Carpenter and Jieun Shin partner to host virtual ICA Computation Methods Lab Showcase (January 23, 2026)
- Five UFCJC Faculty Receive Promotions (July 2, 2025)
- UF Researchers Awarded $918,000 Knight Foundation Grant to Study the Public’s Demand for Confirmatory versus Truth-Seeking Online Information (February 6, 2025)
- All News About Jieun Shin →
Publications
Refereed Journal Articles
DuBosar, E., & Shin, J. (2026). Threat Level Midnight: Examining the Relationship Between Threatening Language and Engagement with Non-Partisan, Partisan, and Hyper-partisan Media on Facebook. Mass Communication Society. DOI: 10.1080/15205436.2026.2637143
Nam, J., Park, N., Lee, H., Shin, J., Lee, D., & Shin, J. (2026). Monetary Value of Credibility Signals Exploring User Experience on Online News Platforms. Technology in Society. DOI: www.sciencedirect.com/science/article/abs/pii/S0160791X26000412
Sparks, J., Shin, J., Mitson, R., & Louis, J. (2025). Fake It ‘Til You Make It: Linking Behaviors of Untrustworthy News Websites. Telematics & Informatics.
Wang, R., Zhang, W., & Shin, J. (2025). Mapping the Evolving Networks of the #StopAsianHate Movement on Twitter: The Role of Serial Participants in Digital Activism. Information, Communication, & Society.
Shin, J., DeFelice, C., & Kim, S. (2025). Emotion Sells: Rage Bait vs. Information Bait in Clickbait News Headlines on Social Media. Digital Journalism.
Mirza, B., Fazzone, B., Rashid, A., Brinkley, L., Anderson, E., Scali, S., Berceli, S., Shin, J., & Robinson, S. (2025). Academic Productivity and Content From Social Media Influencers in Vascular Surgery Compared to Complementary Specialties. JVS-Vascular Insights.
Yang, A., Zhou, A., Shin, J., Huang-Isherwood, K., Liu, W., Dong, C., Lee, E., & Sun, J. (2024). Sharing is Caring? How Moral Foundation Frames Drive the Sharing of Corrective Messages and Misinformation about COVID-19 Vaccines. Journal of Computational Social Science.
Zhou, A., Liu, W., Kim, H. M., Lee, E., Shin, J., Zhang, Y., Huang-Isherwood, K. M., Dong, M., & Yang, A. (2024). Moral foundations, ideological divide, and public engagement with U.S. government agencies’ COVID-19 vaccine communication on social media. Mass Communication Society.
Sun, J., Shin, J., Li, Y., Qu, Y., Zhen, L., Kim, H., Yang, A., Liu, W., & Saffer, A. (2024). Communicating CSR Relationships in COVID-19: The evolution of cross-sector communication networks on social media. Business Ethics, the Environment & Responsibility.
Shin, J., Lewis, S., Kim, S., & Thorson , K. (2024). Does high-quality news attract engagement on social media? Mediatization, media logic, and the contrasting values that shape news sharing, liking, and commenting on Facebook. New Media & Society.
Yang, A., Shin, J., Kim, H., Zhou, A., Liu, W., Huang-Isherwood, K., Jang, E., & Sun, J. (2023). Who Says What in Which Networks: What influences Social Media Users’ Emotional Reactions to the COVID-19 Vaccine Infodemic?. Social Science Computer Review, 41(6), 1986-2009. DOI: 10.1177/08944393221128940
Wang, R., & Shin, J. (2023). Determinants of Alliance Formation and Dissolution Among International Health Organizations: The Influence of Homophily and Institutional Power in Affinity Communication Networks. Management Communication Quarterly.
Shin, J., & Chan-Olmsted, S. (2023). User perceptions and trust of explainable machine learning fake news detector. International Journal of Communication.
Lee, S., Shin, J., & Won, J. (2022). Transparency Management of Content Creators on Social Media: Motivation, Tenure, and Status. Journal of Media Business Studies.
Yang, A., Shin, J., Kim, H., Zhou, A., Liu, W., Huang-Isherwood, K., Jang, E., Sun, J., Lee, E., Zhang, Y., & Dong, C. (2022). Who Says What in Which Networks: What influence Social Media Users’ Emotional Reactions to the COVID-19 Vaccine Infodemic?. Social Science Computer Review.
Liu, W., Yang, A., Shin, J., Li, Y., Sun, J., Qu, Y., Zhen, L., Kim, H., & Dong, C. (2022). One Earth, One Humanity vs. the Virus: Global Cross- Sector COVID-19 CSR Communication Networks on Social Media. International Journal of Business Communication. DOI: 10.1177/23294884221114393
Shin, J., Yang, A., Liu, W., Kim, H. M., Zhou, A., & Sun, J. (2022). Mask-Wearing as a Partisan Issue: Social Identity and Communication of Party Norms on Social Media Among Political Elites. Social Media + Society.
Shin, J., & Ognyanova , K. (2022). Social media metrics in the digital marketplace of attention: Does journalistic capital matter for social media capital?. Digital Journalism.
Yang, A., Shin, J., Zhou, A., Ke, ., LEE, E., Chuqing, D., Kim, H., Zhang, Y., Sun, J., Li, Y., Nan, Y., & Liu, W. (2021). The battleground of COVID-19 vaccine misinformation on Facebook: Fact checkers vs. misinformation spreaders. Harvard Kennedy School Misinformation Review.
Li, Y., Shin, J., Lee, H., Sun, J., & Yang, A. (2021). Coming Together in Tough Times: The Co-evolution of NGOs’ COVID-19 Issue Discourse and Organizational Community Networks. Computers in Human Behavior.
Shin, J. (2020). How do partisans consume news on social media?: A comparison of self-reports with digital trace measures among Twitter users. Social Media + Society. DOI: 10.1177/2056305120981039
Shin, J., & Valente, T. (2020). Algorithms and health misinformation: A case study of vaccine books on Amazon. Journal of Health Communication.
Liu, W., & Shin, J. (2019). Convergence or divergence: Exploring different mechanisms driving children’s rights organizations’ offline versus online interorganizational alliance building. Telematics and Informatics, 42. DOI: 10.1016/j.tele.2019.101242
Shin, J., Jian, L., Driscoll, K., & Bar, F. (2018). The diffusion of misinformation on social media: Temporal pattern, message, and source. Computers in Human Behavior, 83, 278-287. DOI: 10.1016/j.chb.2018.02.008
Lee, C., Shin, J., & Lee, A. (2018). Direct and indirect effects of social media use on political news consumption: Does social media use really make people polarized?. Telemetics and Informatics, 35(1), 245-254. DOI: 10.1016/j.tele.2017.11.005
Shin, J., & Thorson , K. (2017). Partisan selective sharing: The biased diffusion of fact-checking messages on social media. Journal of Communication, 67(2), 232-255. DOI: 10.1111/jcom.12284
Shin, J., Jian, L., Driscoll, K., & Bar, F. (2016). Political rumoring on Twitter during the 2012 U.S. presidential election: rumor diffusion and correction. New Media & Society, 19(8), 1214-1235. DOI: 10.1177/1461444816634054
Shin, J., & Jian, L. (2014). Motivations behind readers' donation to crowd-funded journalism. Mass Communication and Society, 18(2), 165-185. DOI: 10.1080/15205436.2014.911328
