Information disorders during the COVID-19 infodemic: The case of Italian Facebook.

COVID-19 Disinformation Facebook Infodemic Online social networks

Journal

Online social networks and media
ISSN: 2468-6964
Titre abrégé: Online Soc Netw Media
Pays: United States
ID NLM: 101718072

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 30 08 2020
revised: 30 12 2020
accepted: 23 01 2021
entrez: 4 10 2021
pubmed: 5 10 2021
medline: 5 10 2021
Statut: ppublish

Résumé

The recent COVID-19 pandemic came alongside with an "infodemic", with online social media flooded by often unreliable information associating the medical emergency with popular subjects of disinformation. In Italy, one of the first European countries suffering a rise in new cases and dealing with a total lockdown, controversial topics such as migrant flows and the 5G technology were often associated online with the origin and diffusion of the virus. In this work we analyze COVID-19 related conversations on the Italian Facebook, collecting over 1.5M posts shared by nearly 80k public pages and groups for a period of four months since January 2020. On the one hand, our findings suggest that well-known unreliable sources had a limited exposure, and that discussions over controversial topics did not spark a comparable engagement with respect to institutional and scientific communication. On the other hand, however, we realize that dis- and counter-information induced a polarization of (clusters of) groups and pages, wherein conversations were characterized by a topical lexicon, by a great diffusion of user generated content, and by link-sharing patterns that seem ascribable to coordinated propaganda. As revealed by the URL-sharing diffusion network showing a "small-world" effect, users were easily exposed to harmful propaganda as well as to verified information on the virus, exalting the role of public figures and mainstream media, as well as of Facebook groups, in shaping the public opinion.

Identifiants

pubmed: 34604611
doi: 10.1016/j.osnem.2021.100124
pii: S2468-6964(21)00008-2
pmc: PMC8479410
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100124

Informations de copyright

© 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Stefano Guarino (S)

Institute for Applied Mathematics, National Research Council, 00185, Rome, Italy.

Francesco Pierri (F)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133, Milan, Italy.

Marco Di Giovanni (M)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133, Milan, Italy.

Alessandro Celestini (A)

Institute for Applied Mathematics, National Research Council, 00185, Rome, Italy.

Classifications MeSH