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

Misinformation and Disinformation Outbreaks and Information Prevalence Studies (44) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Mass Media/Social Media Communication and Campaigns (461) Infodemiology and Infoveillance (1349) Information Quality in Digital Media (340)

Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31793, first published .
(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

(Mis)Information on Digital Platforms: Quantitative and Qualitative Analysis of Content From Twitter and Sina Weibo in the COVID-19 Pandemic

Authors of this article:

Sarah Kreps1 Author Orcid Image ;   Julie George1 Author Orcid Image ;   Noah Watson2 Author Orcid Image ;   Gloria Cai3, 4 Author Orcid Image ;   Keyi Ding3, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (16) Metrics

Journals

  1. Bizzotto N, Schulz P, de Bruijn G. The “Loci” of Misinformation and Its Correction in Peer- and Expert-Led Online Communities for Mental Health: Content Analysis. Journal of Medical Internet Research 2023;25:e44656 View
  2. Bhandoria G, Bilir E, Uwins C, Vidal-Alaball J, Fuster-Casanovas A, Ahmed W. Impact of a New Gynecologic Oncology Hashtag During Virtual-Only ASCO Annual Meetings: An X (Twitter) Social Network Analysis. JMIR Medical Education 2024;10:e45291 View