Don Shin

Biography

Don Shin is an ICA Fellow (International Communication Association Fellow) and has been recognized in a global research database as one of the World’s Top 2% Scientists. His research focuses on AI–human interaction, with expertise in social media analytics, user modeling, and misinformation. He previously held the Samsung Endowed Chair and was the founding chair of the Department of Interaction Science at Sungkyunkwan University, where he established interdisciplinary research in interactive communication and emerging technologies. As Director of the Interaction Science Research Center, he led major national research initiatives, serving as Principal Investigator for the BK21 Plus and WCU programs, both funded by Korea’s Ministry of Education. His work continues to advance knowledge on AI-mediated communication and its broader societal and ethical implications.

Research Areas

• Digital Media and Society
• Misinformation and Information Trust
• Human-Computer Interaction (HCI)
• Emerging Media and Platforms
• Communication Technology Innovation

Selected Publications

• (2025). Towards responsible AI Journalism: Mapping journalists’ perceptions of AI ethics. Journalism. https://doi.org/10.1177/14648849251363045
• (2025). Privacy decision making in artificial intelligence. IEEE Computer, 58(9), 98–103. https://doi.org/10.1109/MC.2025.3537236
• (2025). Seeing through the fake: How users detect and interpret deepfakes. Information, Communication & Society. 1–19. https://doi.org/10.1080/1369118X.2025.2518260
• (2024).  How algorithms promote self-radicalization: Audit of Tiktok’s algorithm using a reverse engineering method. Social Science Computer Review,42(4), 856-1085.  https://doi.org/10.1177/08944393231225547
• (2024). A value and diversity-aware news recommendation systems: Can algorithmic gatekeeping nudge readers to view diverse news? Journalism & Mass Communication Quarterly.  https://doi.org/10.1177/10776990241246680
• (2024). Impact of misinformation from generative AI on user information processing: How people understand misinformation from generative AI. New Media & Society, 27(7), 4017-4047. https://doi.org/10.1177/14614448241234040

Teaching Focus

Digital Journalism, Human-Centered AI, Human-AI Interaction, PCOM 4301, PCOM 3373