Studying the COVID-19 infodemic at scale

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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Main Authors: Anatoliy Gruzd, Manlio De Domenico, Pier Luigi Sacco, Sylvie Briand
Format: Article
Language:English
Published: SAGE Publishing 2021-06-01
Series:Big Data & Society
Online Access:https://doi.org/10.1177/20539517211021115
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spelling doaj-db0f5efddc814063aa28a24078d221d92021-06-11T22:33:31ZengSAGE PublishingBig Data & Society2053-95172021-06-01810.1177/20539517211021115Studying the COVID-19 infodemic at scaleAnatoliy GruzdManlio De DomenicoPier Luigi SaccoSylvie BriandThis 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.https://doi.org/10.1177/20539517211021115
collection DOAJ
language English
format Article
sources DOAJ
author Anatoliy Gruzd
Manlio De Domenico
Pier Luigi Sacco
Sylvie Briand
spellingShingle Anatoliy Gruzd
Manlio De Domenico
Pier Luigi Sacco
Sylvie Briand
Studying the COVID-19 infodemic at scale
Big Data & Society
author_facet Anatoliy Gruzd
Manlio De Domenico
Pier Luigi Sacco
Sylvie Briand
author_sort Anatoliy Gruzd
title Studying the COVID-19 infodemic at scale
title_short Studying the COVID-19 infodemic at scale
title_full Studying the COVID-19 infodemic at scale
title_fullStr Studying the COVID-19 infodemic at scale
title_full_unstemmed Studying the COVID-19 infodemic at scale
title_sort studying the covid-19 infodemic at scale
publisher SAGE Publishing
series Big Data & Society
issn 2053-9517
publishDate 2021-06-01
description 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.
url https://doi.org/10.1177/20539517211021115
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AT manliodedomenico studyingthecovid19infodemicatscale
AT pierluigisacco studyingthecovid19infodemicatscale
AT sylviebriand studyingthecovid19infodemicatscale
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