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

Early Results from COVID-19 Studies (277) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (40) JMIR Theme Issue: COVID-19 Special Issue (2388) Infodemiology and Infoveillance (1269)

Published on in Vol 7 (2023)

This is a member publication of University of Birmingham (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41134, first published .
Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study

Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study

Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study

Authors of this article:

Iris Thiele Isip Tan1 Author Orcid Image ;   Jerome Cleofas2 Author Orcid Image ;   Geoffrey Solano3 Author Orcid Image ;   Jeanne Genevive Pillejera1 Author Orcid Image ;   Jasper Kyle Catapang4 Author Orcid Image
Article Authors Cited by Tweetations (13) Metrics

There are no citations yet available for this article according to Crossref .