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

Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Theme Issue: Mpox Outbreak Rapid Reports (8) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Quality/Credibility of eHealth Information and Trust Issues (531) Behavioural Surveillance for Public Health (229) Infodemic Management (49)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43841, first published .
Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Authors of this article:

Andy Edinger1, 2 Author Orcid Image ;   Danny Valdez3 Author Orcid Image ;   Eric Walsh-Buhi3 Author Orcid Image ;   Jennifer S Trueblood2, 4 Author Orcid Image ;   Lorenzo Lorenzo-Luaces4 Author Orcid Image ;   Lauren A Rutter4 Author Orcid Image ;   Johan Bollen1, 2 Author Orcid Image
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