Won-Ki Moon

Assistant Professor University of Florida

  • Gainesville FL

Won-Ki Moon studies sociotechnical decision-making, public trust in AI and how systems shape consumer, organizational and societal behavior.

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Biography

Won-Ki Moon studies how AI and algorithmic systems shape decision-making, communication and trust across individual, organizational and societal levels. His work examines sociotechnical decision-making and the legitimacy of emerging technologies, focusing on how people evaluate the fairness, responsibility, and public value of AI. His research further extends to science and risk communication, exploring how publics interpret scientific information, navigate misinformation, and form judgments about issues in climate, health and technology governances. He also investigates how AI transforms consumer-facing communication—such as digital persuasion, automated information sources, and data-driven advertising—and how these shifts influence risk perception and marketplace behaviors.

Areas of Expertise

Public Trust, Misinformation, and Technology Governance
Consumer Decision-Making
Algorithmic Communication
Responsible Innovation
Human-AI Interaction
Misinformation
Artificial Intelligence
Science and Risk Communication
Artificial Intelligence and Society
Digital and AI-Assisted Advertising
AI Legitimacy, Ethics, and Responsible Innovation

Media Appearances

Eugy Han and Won-Ki Moon selected for UF International Center 2026 Global Fellows Program

UF College of Journalism and Communications  online

2025-11-12

Two University of Florida College of Journalism and Communications (UFCJC) faculty members have been selected for the UF International Center 2026 Global Fellows Program (GFP). Media Production, Management, and Technology Assistant Professor Eugy Han and Advertising Assistant Professor Won-Ki Moon will receive funding to lay the groundwork for conducting international research.

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Won-Ki Moon Offers Information on Classroom Best Practices at 2025 UF Quest Day

UF College of Journalism and Communications  online

2025-03-28

Won-Ki Moon, University of Florida College of Journalism and Communications Advertising assistant professor, was one of five faculty members speaking on best practices in the classroom at 2025 UF Quest Day on March 12 at the UF Reitz Student Union.

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“Don’t Believe Everything You Read Online”: How AI Fact-Checking Could Challenge Political Bias in Science Information Processing

UF College of Journalism and Communications  online

2024-12-12

As social media has grown into many people’s primary news source, so has its potential for misinformation. Facebook and X have both launched fact-checking tools to combat so-called fake news. Yet many users dismiss the fact-check itself as false, especially when it challenges their preexisting views. Could an AI fact-checker seem more objective and help change minds?

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Social

Articles

Between Innovation and Caution: How Consumers’ Risk Perception Shapes AI Product Decisions

Journal of Current Issues & Research in Advertising

Moon, et al.

2025-03-31

While artificial intelligence (AI)-integrated products continue to surge in the market, research on effectively marketing these products remains scarce. Notably, the emergence of generative AI products has both astonished consumers and prompted businesses to accelerate AI adoption. Yet, for many, AI remains an early adopter’s domain. Our study highlights a potential barrier: the varied risk perceptions (RPs) that consumers associate with AI products.

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Fact-checking in the age of AI: Reducing biases with non-human information sources

Technology in Society

Moon & Kahlor

2024-11-27

This study examines the obstacles to the effectiveness of fact-checking, focusing primarily on the pervasive impact of entrenched biases. Fact-checking efforts often face resistance when linked to mistrusted sources, leading to cognitive dissonance and the rejection of messages in favor of pre-existing beliefs, a phenomenon known as motivated reasoning. This resistance hinders organizations’ ability to correct misconceptions surrounding social issues and entities. The research delves into whether non-human entities such as AI can facilitate less biased information processing due to their perceived impartiality.

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Virtual voices for real change: The efficacy of virtual humans in pro-environmental social marketing for mitigating misinformation about climate change

Computers in Human Behavior: Artificial Humans

Moon, et al.

2024-01-30

Academics have focused their research on the rise of non-human entities, particularly virtual humans. To assess the effectiveness of virtual humans in influencing individual behavior through campaigns, we conducted two separate online experiments involving different participant groups: university students and U.S. adults.

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Media