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

BackgroundThe COVID-19 pandemic has been accompanied by an infodemic: excess information, including false or misleading information, in digital and physical environments during an acute public health event. This infodemic is leading to confusion and risk-taking behaviors that...

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Bibliographic Details
Main Authors: Tina D Purnat, Paolo Vacca, Christine Czerniak, Sarah Ball, Stefano Burzo, Tim Zecchin, Amy Wright, Supriya Bezbaruah, Faizza Tanggol, Ève Dubé, Fabienne Labbé, Maude Dionne, Jaya Lamichhane, Avichal Mahajan, Sylvie Briand, Tim Nguyen
Format: Article
Language:English
Published: JMIR Publications 2021-07-01
Series:JMIR Infodemiology
Online Access:https://infodemiology.jmir.org/2021/1/e30971

Internet

https://infodemiology.jmir.org/2021/1/e30971

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