Types, sources, and claims of Covid-19 misinformation

University of Oxford

Indexed indatacite

Abstract

This report offers an initial systematic description of the global misinformation concerning the novel coronavirus. Through a quantitative content analysis of a sample of claims rated as false by professional fact checkers around the world, it asks three main research questions: what types of misinformation are most common, what are the motivation behind that content, and what main claims are made. To answer the first two questions, the report modifies and employs two existing measures. To answer the third and to classify the claims made, it inductively generates a unique typology through several iterations of coding and discussion. The corpus of misinformation is comprised of a random sample of 15% of the…

Citation impact

688
total citations
FWCI
Percentile
References
0
Citations per year

Authors

4

Topics & keywords

Keywords
  • Misinformation
  • Coronavirus disease 2019 (COVID-19)
  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
  • 2019-20 coronavirus outbreak
  • Sample (material)
  • Computer science
  • Medicine
  • Computer security
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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