The COVID-19 pandemic has led to a corresponding infodemic, emphasised 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

P Zola;G Cola;M Tesconi
2022

Abstract

The COVID-19 pandemic has led to a corresponding infodemic, emphasised 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
Istituto di informatica e telematica - IIT
social media
Twitter
coronavirus
COVID-19
information disorder
network analysis
retweet cascades
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/412168
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact