College Directory


Seungahn Nah, Ph.D.

Seungahn Nah, Ph.D.

Dianne Snedaker Chair in Media Trust and Research Director - Consortium on Trust in Media and Technology

Professor - Department of Journalism

Office: 1200 Weimer

Phone: 352-392-0466

Email: snah@ufl.edu

Seungahn Nah, Ph.D.

Dianne Snedaker Chair in Media Trust and Research Director - Consortium on Trust in Media and Technology

Professor - Department of Journalism


Nah is Professor, Inaugural Dianne Snedaker Chair in Media Trust, and Research Director of the Consortium on Trust in Media and Technology (CTMT), part of the UF AI Initiative.

Nah was Professor of Journalism and Media Studies at the University of Oregon’s School of Journalism and Communication, where he served as the Inaugural Associate Dean for Graduate Affairs and Research and directed the Digital Media and Civic Engagement Project. Prior to joining UO, he was Associate Professor of Communication and Information Communication Technology (ICT) at the University of Kentucky.

Nah’s scholarship centers on the interrelationships among communication, community, and democracy with special emphasis on the roles of digital communication technologies, including AI-enabled technologies, and media credibility in community and democratic processes and outcomes. In particular, his research sheds light on community storytelling networks through social and mobile media and AI-communication, news trust, and civic engagement across diverse ethnic and racial groups as well as communities at the local, national, and global levels.

Nah received his Ph.D. from the University of Wisconsin-Madison and his Master’s and Bachelor’s degrees from Yonsei University, Seoul, South Korea. He has written, edited, and published numerous books and more than 70 journal articles and book chapters concerning digital media, AI, news credibility, participatory communication, and civic participation.

His research has been funded by the National Science Foundation, News Voices Project through the Knight Foundation, NAVER, South Korean Google among others. His work has appeared in prestigious journals, such as Journal of Communication, Communication Theory, Journal of Computer-Mediated Communication, New Media & Society, Communication Research, Journalism & Mass Communication Quarterly, and International Journal of Communication among others. He is a recipient of numerous top paper awards from the Association for Education in Journalism and Mass Communication (AEJMC), the International Communication Association (ICA), the American Political Science Association (APSA), and the World Association of Public Opinion Research (WAPOR). He was also a recipient of the University of Kentucky Provost’s Outstanding Teaching Award and was a fellow of the Academic Leadership Academy.

He served as Head of Mass Communication and Society Division of Association for Education in Journalism and Mass Communication (AEJMC) and President of Korean American Communication Association (KACA). Moreover, he served as an associate editor of the Mass Communication and Society and the Journal of Communication, the flagship journal of the International Communication Association (ICA). He currently serves on a dozen editorial board member for Journal of Computer-Mediated Communication, New Media & Society, Journalism & Mass Communication Quarterly, International Journal of Communication, Mass Communication and Society, Human-Machine Communication among others. He is a Principal Investigator of the Worlds of Journalism Study (WJS), a global project with more than 120 countries involved.

Areas of Expertise

Artificial Intelligence (AI), Disinformation / Misinformation, Emerging Media (gaming, VR, etc.), Journalism, Political Communication, Social Media, Trust

Education

Ph.D., University of Wisconsin-Madison
Master’s degree, Yonsei University in Seoul, South Korea
Bachelor’s degree, Yonsei University in Seoul, South Korea

News

Publications

Presentations

Nah, S. (2025). Generative AI in the News: The Impact of Framing on Public Attitude and Engagement. Oral Presentation at HCI International 2025.

Nah, S., Chen, M., & Mitson, R. (2024). Algorithmic Bias or Algorithmic Reconstruction? A Comparative Analysis Between AI News and Human News. at 10th International Conference on Computational Social Science IC2S2.

Liu, F., Chen, M., & Nah, S. (2024). When Artificial Intelligence Meets Humans: A Comparative Study of News Credibility among AI, Journalists, and AI-Journalists Collaboration. Oral Presentation at 2014 Association for Education in Journalism and Mass Communication (AEJMC), Philadelphia , PA.

Nah, S. (2024). 'Weaving ethical challenges faced by journalists globally'. Oral Presentation at 2024 IAMCR (International Association for Media and Communication Research) Conference, Christchurch , New Zealand.

Nah, S. (2024). In AI News We Trust: Causes, Components, and Consequences of News Credibility. Paper/Poster at International Communication Association (ICA) Conference 2024, Gold Coast, Australia.

Nah, S. (2024). Revisiting Professional Autonomy through a Cross-National Survey of Journalists. at Global journalism under duress: Key findings from WJS3, Gold Coast, Australia.

Nah, S. (2024). Revisiting Professional Autonomy through a Cross-National Survey of Journalists. Global journalism under duress: Key findings from WJS3 Panel. Oral Presentation at International Communication Association (ICA) Conference 2024, Gold Coast, Australia.

Nah, S. (2024). Weaving challenges faced by journalists globally. Oral Presentation at 2024 International Association for Media and Communication Research (IAMCR) Conference, Christchurch , New Zealand.

Pittet Gonzalez, L., & Nah, S. (2024). Alerts & Algorithms: A Comparative Study of Public Response to Evacuation Notices between AI andHuman Leaders. Demonstration at International Crisis & Risk Communication Conference 2024, Orlando, FL.

Shao, C., Nah, S., Makady, H., & McNealy, J. (2023). When AI Meets Ethics: Rethinking Attitude Toward Use of AI Technologies. Paper/Poster at 73rd Annual International Communication Association Conference , Toronto, Canada.

Shao, C., & Nah, S. (2023). What Can AI do for Democracy? Community Storytelling Network, AI Technologies, and Civic Participation. Paper/Poster at 73rd Annual International Communication Association Conference, Toronto, Canada.

Nah, S., Shao, C., Romanova, E., Nam, G., & Liu , F. (2023). When Trust in AI Mediates: AI News Use, Public Discussion, and Civic Participation. Paper/Poster at 73rd Annual International Communication Association Conference, Toronto, Canada.

Shao, C., Nah, S., Heffron, E., & Sparks , J. (2023). Conceptualizing Trust: Causes, Components, and Consequences. Paper/Poster at Broadcast Education Association 2023, Las Vegas , NV.

Research

Specialization

Political Communication; Journalism Sociology; The Public Sphere; Theory of Communicative Action; Digital Media and Civic Engagement; Citizen Journalism; AI, News, and Trust; Algorithmic Bias; AI and Human Interaction

Courses