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

Ethical, Legal, and Social Issues in AI (32) Artificial Intelligence (1371) Applications of AI (80)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47240, first published .
An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach

An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach

An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach

Authors of this article:

Jiahui Lu1, 2 Author Orcid Image ;   Huibin Zhang2 Author Orcid Image ;   Yi Xiao2 Author Orcid Image ;   Yingyu Wang2 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Hussna A, Alam M, Islam R, Alkhamees B, Hassan M, Uddin M. Dissecting the infodemic: An in-depth analysis of COVID-19 misinformation detection on X (formerly Twitter) utilizing machine learning and deep learning techniques. Heliyon 2024;10(18):e37760 View
  2. McKee M, Rosenbacke R, Stuckler D. The power of artificial intelligence for managing pandemics: A primer for public health professionals. The International Journal of Health Planning and Management 2024 View