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

Early Results from COVID-19 Studies (299) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (44) JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349)

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 (1) Tweetations (13) Metrics

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