Jieun Shin, Ph.D.
Assistant Professor - Department of Media Production, Management, and Technology
Prior to joining UF in 2018, Shin was a postdoctoral researcher at the University of Southern California Center for Applied Network Analysis in the Department of Preventive Medicine. She teaches and conducts research in digital media with a focus on social interaction, information flow, and networks and is particularly interested in how people create, share, and process information at the individual level and the resulting outcomes at the collective level.
Shin received a B.A. with honors in Mass Communication and Journalism from Korea University in 2003. After graduation, she worked as a journalist for the Chosun Daily – Korea’s leading media company – for five years covering consumer, business, and technology. During that time, she also collaborated with Booz Allen Hamilton to investigate and analyze corporate strategies for imminent changes in the media industry. Based on interviews with technology scholars and influential movers as part of that project, she published a book titled “Technology and the Future” in 2008 and two book chapters concerning the consumption of brands and the role of influentials.
In 2010, to more systematically study the trends of media technology and communication strategies, Shin returned to school for a Master’s in Communication Management and a Ph.D. in Communication at the Annenberg School for Communication & Journalism at USC. At Annenberg, she worked on various projects as part of the Annenberg Networks Network, the Annenberg Innovation Lab, and the Center for Applied Network Analysis.
In 2017, she was awarded the “2017 Nafziger-White-Salwen Dissertation Award” from AEJMC. Her research has appeared in journals such as the Journal of Communication, New Media & Society, and Mass Communication & Society.
Areas of ExpertiseAudience Analytics, Disinformation / Misinformation, International Journalism, Media Sociology, Social Media
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, 2003
- User Perceptions and Trust of Fake News Detection Technology (March 6, 2023)
- Transparency of Beauty Influencers on YouTube (March 2, 2023)
- Jieun Shin Authors Book Chapter on Social Media Metrics and News Quality (January 20, 2023)
- Two Studies Focus on Trust in AI Fake News Detection Technology and Defining Media Brand Trust (January 5, 2023)
- Study: Transparency Management of Content Creators on Social Media (November 3, 2022)
- All News About Jieun Shin
Syllabi from the current and three previous semesters:
- MMC 3420 - Consumer and Audience Analytics - Spring 2023 (PDF)
- MMC 6936 - Computational Methods for Media Research - Spring 2023 (PDF)
- MMC 3420 - Consumer and Audience Analytics - section 16353, 16359 - Fall 2022 (PDF)
- MMC 3420 - Consumer and Audience Analytics - section 28DD - Spring 2022 (PDF)
- MMC 6936 - Computational Methods for Media Research - section 32FE - Spring 2022 (PDF)
- RTV 4910 - Evaluating News Quality in the Platform Era - section 6666 - Spring 2022 (PDF)
- MMC 3420 - Consumer and Audience Analytics - section 07F7 - Fall 2021 (PDF)