The Covid-19 pandemic has led to a corresponding infodemic, emphasized by the use of social media as the primary communication channel during lockdowns. This study was aimed at finding the accounts that spread information in Italian on Covid-19, and how such information was propagated in the first Western country to face a lockdown. The presented analysis shows that, besides authoritative news media and institutional accounts, a relevant role was played by actors from the “Civil society”, which included a popular virologist as well as a far-right activist and an unfamiliar account supporting anti-government and anti-immigration ideas. Quite surprisingly, this latter account achieved the highest number of retweets despite a relatively low number of followers. Also, it showed information propagation paths similar to health experts and institutions.

Italian top actors during the Covid-19 infodemic on Twitter

Martella, A.;
2022-01-01

Abstract

The Covid-19 pandemic has led to a corresponding infodemic, emphasized by the use of social media as the primary communication channel during lockdowns. This study was aimed at finding the accounts that spread information in Italian on Covid-19, and how such information was propagated in the first Western country to face a lockdown. The presented analysis shows that, besides authoritative news media and institutional accounts, a relevant role was played by actors from the “Civil society”, which included a popular virologist as well as a far-right activist and an unfamiliar account supporting anti-government and anti-immigration ideas. Quite surprisingly, this latter account achieved the highest number of retweets despite a relatively low number of followers. Also, it showed information propagation paths similar to health experts and institutions.
2022
18
2
150
172
https://www.inderscienceonline.com/doi/pdf/10.1504/IJWBC.2022.124783
coronavirus; COVID-19; information disorder; network analysis; retweet cascades; social media; Twitter
Zola, P.; Cola, G.; Martella, A.; Tesconi, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1863802
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