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

Infodemiology and Infoveillance (1166) JMIR Theme Issue: COVID-19 Special Issue (2275) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1402) Infectious Diseases (non-STD/STI) (1323) Mass Media/Social Media Communication and Campaigns (409) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1449) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (946) Theme Issue: Social Media, Ethics, and COVID-19 Misinformation (31) Peer-to-Peer Support and Online Communities (525)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34218, first published .
Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study

Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study

Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study

Authors of this article:

Edina YQ Tan 1, 2 Author Orcid Image ;   Russell RE Wee 3 Author Orcid Image ;   Young Ern Saw 1 Author Orcid Image ;   Kylie JQ Heng 1 Author Orcid Image ;   Joseph WE Chin 1 Author Orcid Image ;   Eddie MW Tong 3 Author Orcid Image ;   Jean CJ Liu 1, 2, 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Scherz Z, Salman A, Alexandron G, Shwartz Y. WhatsApp Discourse Throughout COVID-19: Towards Computerized Evaluation of the Development of a STEM Teachers Professional Learning Community. International Journal of Artificial Intelligence in Education 2022 View
  2. Franzolini B, Cremaschi A, van den Boom W, De Iorio M. Bayesian clustering of multiple zero-inflated outcomes. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2023;381(2247) View