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.
【저자키워드】 COVID-19 vaccine, AstraZeneca, Disinformation., 【초록키워드】 COVID-19, Vaccine, media, Asia, Study design, network analysis, misinformation, disinformation, social network analysis, information, AstraZeneca, Analysis, English language, social network, South, many cases, European Commission, press, collected, involved, conducted, analysed, many case, 【제목키워드】 Analysis,