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

Infodemic Management (49) JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infoveillance and Social Listening (209)

Published on in Vol 1, No 1 (2021): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30971, first published .
Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations

Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations

Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations

Authors of this article:

Tina D Purnat1 Author Orcid Image ;   Paolo Vacca2 Author Orcid Image ;   Christine Czerniak3 Author Orcid Image ;   Sarah Ball2 Author Orcid Image ;   Stefano Burzo4 Author Orcid Image ;   Tim Zecchin2 Author Orcid Image ;   Amy Wright2 Author Orcid Image ;   Supriya Bezbaruah5 Author Orcid Image ;   Faizza Tanggol6 Author Orcid Image ;   Ève Dubé7 Author Orcid Image ;   Fabienne Labbé7 Author Orcid Image ;   Maude Dionne7 Author Orcid Image ;   Jaya Lamichhane3 Author Orcid Image ;   Avichal Mahajan3 Author Orcid Image ;   Sylvie Briand3 Author Orcid Image ;   Tim Nguyen3 Author Orcid Image
Article Authors Cited by (47) Tweetations (84) Metrics Author Video

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Books/Policy Documents

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