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

Infodemiology and Infoveillance (1350) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1042) Artificial Intelligence (1377) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1643) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (44)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44356, first published .
Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter

Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter

Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter

Authors of this article:

Plinio Pelegrini Morita1, 2, 3, 4, 5 Author Orcid Image ;   Irfhana Zakir Hussain1, 6 Author Orcid Image ;   Jasleen Kaur1 Author Orcid Image ;   Matheus Lotto1, 7 Author Orcid Image ;   Zahid Ahmad Butt1 Author Orcid Image
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