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分析推特上阿斯利康 COVID-19 疫苗错误信息和恐惧言论。

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

机构信息

Kozminski University, Management in Networked and Digital Societies (MINDS), Warsaw, Poland; Harvard University, Berkman-Klein Center for Internet and Society, Cambridge, MA, USA.

Kozminski University, Management in Networked and Digital Societies (MINDS), Warsaw, Poland.

出版信息

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.

摘要

目的

本研究旨在分析推特上关于阿斯利康 COVID-19 疫苗的媒体报道。

研究设计

本研究采用的数据抓取、媒体分析、社交网络分析和 Botometer 方法。

方法

我们收集了 2021 年 1 月 1 日至 2021 年 3 月 22 日期间包含“#AstraZeneca”的 221922 条推文。从 50080 条英语推文,我们分析了链接的媒体来源并进行了网络检测研究。

结果

我们发现,转发最多的推文充满了负面信息,而且很多推文都来自以传播错误信息而闻名的媒体。我们的分析确定了南亚参与政治造势和疫苗外交的大型协调网络,但也发现了与欧盟委员会员工有关的疫苗宣传网络。

结论

本研究结果表明,推特上关于#AstraZeneca 的讨论充斥着错误信息和负面新闻,这些信息不仅可能由反疫苗活动人士自发传播,还可能由专业来源有系统地传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab5d/8494632/c7642344d293/gr1_lrg.jpg

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