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

JMIR Theme Issue: COVID-19 Special Issue (2388) Quality/Credibility of eHealth Information and Trust Issues (485) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Information Seeking, Information Needs (419) Mass Media/Social Media Communication and Campaigns (446) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (40)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51910, first published .
Understanding the Impact of Communicating Uncertainty About COVID-19 in the News: Randomized Between-Subjects Factorial Experiment

Understanding the Impact of Communicating Uncertainty About COVID-19 in the News: Randomized Between-Subjects Factorial Experiment

Understanding the Impact of Communicating Uncertainty About COVID-19 in the News: Randomized Between-Subjects Factorial Experiment

Authors of this article:

Rui Zhao1 Author Orcid Image ;   Xuerong Lu2 Author Orcid Image ;   Jiayi Yang3 Author Orcid Image ;   Biao Li4 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Rui Zhao   1 , PhD ;   Xuerong Lu   2 , PhD ;   Jiayi Yang   3 , PhD ;   Biao Li   4 , PhD

1 School of Journalism and Communication, Minzu University of China, Beijing, China

2 School of Communication, Oregon State University, Corvallis, OR, United States

3 School of Chinese Language and Literature, University of International Business and Economics, Beijing, China

4 School of Journalism, Renmin University of China, Beijing, China

Corresponding Author: