Skip to main navigation Skip to search Skip to main content

The COVID-19 Infodemic: Twitter versus Facebook

  • Kai Cheng Yang
  • , Francesco Pierri
  • , Pik Mai Hui
  • , David Axelrod
  • , Christopher Torres-Lugo
  • , John Bryden
  • , Filippo Menczer
  • Indiana University Bloomington
  • Polytechnic University of Milan

Research output: Contribution to journalArticlepeer-review

162 Scopus citations

Abstract

The global spread of the novel coronavirus is affected by the spread of related misinformation—the so-called COVID-19 Infodemic—that makes populations more vulnerable to the disease through resistance to mitigation efforts. Here, we analyze the prevalence and diffusion of links to low-credibility content about the pandemic across two major social media platforms, Twitter and Facebook. We characterize cross-platform similarities and differences in popular sources, diffusion patterns, influencers, coordination, and automation. Comparing the two platforms, we find divergence among the prevalence of popular low-credibility sources and suspicious videos. A minority of accounts and pages exert a strong influence on each platform. These misinformation “superspreaders” are often associated with the low-credibility sources and tend to be verified by the platforms. On both platforms, there is evidence of coordinated sharing of Infodemic content. The overt nature of this manipulation points to the need for societal-level solutions in addition to mitigation strategies within the platforms. However, we highlight limits imposed by inconsistent data-access policies on our capability to study harmful manipulations of information ecosystems.

Original languageEnglish
JournalBig Data and Society
Volume8
Issue number1
DOIs
StatePublished - 2021

Keywords

  • COVID-19
  • Coordination
  • Facebook
  • Infodemic
  • Twitter
  • low-credibility
  • prevalence

Fingerprint

Dive into the research topics of 'The COVID-19 Infodemic: Twitter versus Facebook'. Together they form a unique fingerprint.

Cite this