An analysis of AstraZeneca COVID-19 vaccine misinformation and fear mongering on Twitter

Public Health. 2021 Nov:200:4-6. doi: 10.1016/j.puhe.2021.08.019. Epub 2021 Aug 30.

Abstract

Objectives: The objective of this study was to analyse the media discourse about the AstraZeneca COVID-19 vaccine on Twitter.

Study design: The study design used in this study is data scraping, media analysis, social network analysis, and botometer.

Methods: We collected 221,922 tweets containing '#AstraZeneca' from 1 January 2021 to 22 March 2021. From 50,080 tweets in the English language, we analysed the linked media sources and conducted a network detection study.

Results: We found that the most frequently retweeted tweets were full of negative information, and in many cases came from media sources that are well-known for misinformation. Our analysis identified large coordination networks involved in political astroturfing and vaccine diplomacy in South Asia but also vaccine advocacy networks associated with European Commission employees.

Conclusions: The results of this study show that Twitter discourse about #AstraZeneca is filled with misinformation and bad press, and may be distributed not only organically by anti-vaxxer activists but also systematically by professional sources.

Keywords: AstraZeneca; COVID-19 vaccine; Disinformation.

MeSH terms

  • COVID-19 Vaccines
  • COVID-19*
  • Communication
  • Fear
  • Humans
  • SARS-CoV-2
  • Social Media*

Substances

  • COVID-19 Vaccines