Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil

BMC Public Health. 2021 Jun 23;21(1):1200. doi: 10.1186/s12889-021-11165-1.

Abstract

Background: One of the challenges posed by the novel coronavirus pandemic is the infodemic risk, that is, a huge amount of information being published on the topic, along with misinformation and rumours; with social media, this phenomenon is amplified, and it goes faster and further. Around 100 million people in Brazil (50% of the inhabitants) are users of social media networks - almost half of the country's population. Most of the information on the Internet is unregulated, and its quality remains questionable.

Methods: In this study, we examine the main characteristics of misinformation published on the topic. We analysed 232 pieces of misinformation published by the Brazilian fact-checking service "Agência Lupa". The following aspects of each news item were analysed: a) In what social media has it circulated?; b) What is the content classification, sentiment and type of misinformation?; d) Are there recurrent themes in the sample studied?

Results: Most were published on Facebook (76%), followed by WhatsApp, with 10% of total cases. Half of the stories (47%) are classified as "real-life", that is, the focus is on everyday situations, or circumstances involving people. Regarding the type of misinformation, there is a preponderance of fabricated content, with 53% of total, followed by false context (34%) and misleading content (13%). Wrong information was mostly published in text format (47%). We found that 92.9% of misinformation classified as "fabricated content" are "health tips", and 88.9% of "virtual scams" are also fabricated.

Conclusion: Brazilian media and science communicators must understand the main characteristics of misinformation in social media about COVID-19, so that they can develop attractive, up-to-date and evidence-based content that helps to increase health literacy and counteract the spread of false information.

Keywords: Brazil; COVID-19; Coronavirus; Fact check; Misinformation; Pandemic; Politics; Social media.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brazil / epidemiology
  • COVID-19*
  • Communication
  • Humans
  • Pandemics
  • SARS-CoV-2
  • Social Media*
  • Social Networking