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

Formative Evaluation of Digital Health Interventions (2872) Chatbots and Conversational Agents (648) Theme Issue 2023: Exploring the Intersection Between Health Information, Misinformation, and Generative AI Technologies (8) Artificial Intelligence (1786)

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 (3) 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
  2. Wittenberg C, Epstein Z, Péloquin-Skulski G, Berinsky A, Rand D, Druckman J. Labeling AI-generated media online. PNAS Nexus 2025;4(6) View

Books/Policy Documents

  1. Jiang J. Cross-Cultural Design. View