articleScientific ReportsOct 6, 2020GOLD OA

The COVID-19 social media infodemic

MCMatteo CinelliWQWalter QuattrociocchiAGAlessandro GaleazziCMCarlo Michele ValensiseEBEmanuele Brugnoli

Ca' Foscari University of Venice · Innovation Engineering (Italy) · +4 more institutions

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Abstract

We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID-19 topic and provide a differential assessment on the evolution of the discourse on a global scale for each platform and their users. We fit information spreading with epidemic models characterizing the basic reproduction number [Formula: see text] for each social media platform. Moreover, we identify information spreading from questionable sources, finding different volumes of misinformation in each platform. However, information from both reliable and questionable sources do not present different spreading patterns. Finally, we…

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1,595
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393.56
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100%
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35
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Authors

9
  • MC
    Matteo CinelliCorresponding

    Ca' Foscari University of Venice

  • WQ
    Walter Quattrociocchi

    Ca' Foscari University of Venice, Innovation Engineering (Italy), Istituto di Sessuologia Clinica

  • AG
    Alessandro Galeazzi

    University of Brescia

  • CM
    Carlo Michele Valensise

    Politecnico di Milano

  • EB
    Emanuele Brugnoli

Topics & keywords

Keywords
  • Misinformation
  • Social media
  • Scale (ratio)
  • Topic model
  • Reproduction
  • Homophily
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