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

Artificial Intelligence (117) Artificial Intelligence (1190) Clinical Information and Decision Making (1316) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (40) Theme Issue: Social Media, Ethics, and COVID-19 Misinformation (33) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (23)

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 Tweetations (3) Metrics

Jiahui Lu   1, 2 , PhD ;   Huibin Zhang   2 , BE ;   Yi Xiao   2 , PhD ;   Yingyu Wang   2 , BE

1 State Key Laboratory of Communication Content Cognition, People's Daily Online, Beijing, China

2 School of New Media and Communication, Tianjin University, Tianjin, China

Corresponding Author:

  • Huibin Zhang, BE
  • School of New Media and Communication
  • Tianjin University
  • Number 92, Weijin Road
  • Tianjin, 300072
  • China
  • Phone: 86 15135154977
  • Email: zhanghb@tju.edu.cn