Studying the COVID-19 infodemic at scale

This special theme issue of Big Data & Society presents leading-edge, interdisciplinary research that focuses on examining how health-related (mis-)information is circulating on social media. In particular, we are focusing on how computational and Big Data approaches can help to provide a better...

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Bibliographic Details
Published inBig data & society Vol. 8; no. 1
Main Authors Gruzd, Anatoliy, De Domenico, Manlio, Sacco, Pier Luigi, Briand, Sylvie
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.01.2021
Sage Publications Ltd
SAGE Publishing
Subjects
Big Data
Coronaviruses
COVID-19
Interdisciplinary aspects
Interdisciplinary studies
Social media
COVID-19
Infodemic
pandemic
misinformation
social media
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Summary:This special theme issue of Big Data & Society presents leading-edge, interdisciplinary research that focuses on examining how health-related (mis-)information is circulating on social media. In particular, we are focusing on how computational and Big Data approaches can help to provide a better understanding of the ongoing COVID-19 infodemic (overexposure to both accurate and misleading information on a health topic) and to develop effective strategies to combat it.
ISSN:2053-9517
2053-9517
DOI:10.1177/20539517211021115