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

Early Results from COVID-19 Studies (309) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (47) JMIR Theme Issue: COVID-19 Special Issue (2461) Infodemiology and Infoveillance (1369)

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 (12) Metrics

Iris Thiele Isip Tan   1 , MSc, MD ;   Jerome Cleofas   2 , RN, PhD ;   Geoffrey Solano   3 , MSc, PhD ;   Jeanne Genevive Pillejera   1 , RPh ;   Jasper Kyle Catapang   4

1 Medical Informatics Unit, College of Medicine, University of the Philippines Manila, Manila, Philippines

2 Behavioral Sciences Department, De La Salle University, Manila, Philippines

3 Mathematical and Computing Sciences Unit, University of the Philippines Manila, Manila, Philippines

4 English Language and Linguistics, University of Birmingham, Birmingham, United Kingdom

Corresponding Author: