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This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3527) Chatbots and Conversational Agents (801) Artificial Intelligence (2416) Theme Issue 2023: Exploring the Intersection Between Health Information, Misinformation, and Generative AI Technologies (10)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60024, first published .
Impact of Artificial Intelligence–Generated Content Labels On Perceived Accuracy, Message Credibility, and Sharing Intentions for Misinformation: Web-Based, Randomized, Controlled Experiment

Impact of Artificial Intelligence–Generated Content Labels On Perceived Accuracy, Message Credibility, and Sharing Intentions for Misinformation: Web-Based, Randomized, Controlled Experiment

Impact of Artificial Intelligence–Generated Content Labels On Perceived Accuracy, Message Credibility, and Sharing Intentions for Misinformation: Web-Based, Randomized, Controlled Experiment

Authors of this article:

Fan Li1 Author Orcid Image ;   Ya Yang1 Author Orcid Image
Article Authors Cited by (22) Tweetations Metrics

Journals

  1. Yu T, Tian Y, Chen Y, Huang Y, Pan Y, Jang W. How Do Ethical Factors Affect User Trust and Adoption Intentions of AI-Generated Content Tools? Evidence from a Risk-Trust Perspective. Systems 2025;13(6):461 View
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  3. Xiao J, Donkin R, Lathe S. Digital Anatomy: A New Frontier in Health and Medical Science Education. Clinical Anatomy 2026;39(1):20 View
  4. Hou J, Lu H, Wang B. Driving Mechanisms of User Engagement With AI-Generated Content on Social Media Platforms: A Multimethod Analysis Combining LDA and fsQCA. IEEE Access 2025;13:123994 View
  5. Jain K, Achuthan K. Modeling the dynamics of misinformation spread: a multi-scenario analysis incorporating user awareness and generative AI impact. Frontiers in Computer Science 2025;7 View
  6. Xiao X, Luo C, Song Q, Yang W. When AI Joins the Social Media Conversation: Exploring the Impact of Simulated AI-Assisted Comments on Health Risk Perceptions and Behaviors. Health Communication 2025:1 View
  7. Tao A, Yang Z, Ou W. Enhancing Systematic Review Efficiency with AIGC: Applications of Perception Data in Built Environment Audits. Buildings 2025;15(20):3684 View
  8. Merl N, Schramm F, Wies C, Winterstein J, Brinker T. Generative AI in social media health communication: systematic review and meta-analysis of user engagement with implications for cancer prevention. European Journal of Cancer 2026;232:116114 View
  9. Chen J, Zeng Y, Qiu X. Digital anchors vs. human anchors: a study of the effects of credibility endorsement and psychological distance on policy adoption intention. Frontiers in Psychology 2025;16 View
  10. Green M, Lee D, Raffloer G. Social Media, Artificial Intelligence, and Digital Well‐Being: Research Contributions and Policy Challenges. Social and Personality Psychology Compass 2025;19(11) View
  11. Saeidnia H, Jahani S, Ghiasi N, Keshavarz H. Generative AI and health misinformation: production, propagation, and mitigation—a systematic review. BMC Public Health 2026;26(1) View
  12. Li F, Liu Y, Yang Y, Yu G. How Users Perceive and React to Labeled AI-Generated Content on Social Media: A Longitudinal Study of Cognitive and Emotional Effects. International Journal of Human–Computer Interaction 2026:1 View
  13. Shi Y. The Governance-Embedded Interactive Media Effect: the role of AI-generated disclosure in user credibility and engagement based on fact-checking videos on Chinese TikTok (Douyin). Chinese Journal of Communication 2026:1 View
  14. Gong Z, Peng D, Cui J, Lv Z. The paradox of AI content labeling: how clarity influences information avoidance via cognitive dissonance on social platforms. Frontiers in Psychology 2026;17 View
  15. Chen C, Jia X. When researchers use AI: public trust, ethical judgments, and the perceived value of academic research. AI and Ethics 2026;6(2) View
  16. Soto-Sanfiel M, Fu G. Deepfaking the past: Memory and perceived truth of resurrected historical figures. Computers in Human Behavior 2026;182:109008 View
  17. Talukder M. AI-Generated Misinformation and Children: Developmental Vulnerabilities, Social Amplification, and Governance Imperatives. Child & Youth Services 2026:1 View

Books/Policy Documents

  1. Jiang J. Cross-Cultural Design. View

Conference Proceedings

  1. Pfeuffer C. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. The Impact of AI Trustworthiness Labels on the Perception of AI Products View
  2. Kusters A, Prajod P, Cesar P, El Ali A. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production View
  3. Barkallah M, Zytko D. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. “I Wanted Them to Think That I Wrote That”: AI-Generated Self-Presentation on Dating Apps and Implications of Non-Disclosure on Informed Consent View
  4. Wolf E, Samaradivakara Y, Gokhale O, Ahmed S, Wang Y, Pataranutaporn P, Maes P. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. Seeing Is Not Believing: Realistic AI Videos Disrupt Confidence in Authentic Videos and Perceived Reality View