Anti-Vaccine Discourse on Social Media: An Exploratory Audit of Negative Tweets about Vaccines and Their Posters

被引:11
作者
Nguyen, An [1 ]
Catalan-Matamoros, Daniel [2 ]
机构
[1] Bournemouth Univ, Ctr Sci Hlth & Data Commun Res, Bournemouth BH12 5BB, England
[2] Madrid Univ Carlos III, Dept Commun & Media Studies, Medialab, Madrid 28005, Spain
关键词
vaccine hesitancy; anti-vaccination; fake news; misinformation; science controversy; anti-science; MMR VACCINATION; TWITTER; HEALTH; MISINFORMATION; INFORMATION; CONFIDENCE; ARGUMENTS; HESITANCY; BELIEFS; NETWORK;
D O I
10.3390/vaccines10122067
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
As the anti-vaccination movement is spreading around the world, this paper addresses the ever more urgent need for health professionals, communicators and policy-makers to grasp the nature of vaccine mis/disinformation on social media. A one-by-one coding of 4511 vaccine-related tweets posted from the UK in 2019 resulted in 334 anti-vaccine tweets. Our analysis shows that (a) anti-vaccine tweeters are quite active and widely networked users on their own; (b) anti-vaccine messages tend to focus on the "harmful" nature of vaccination, based mostly on personal experience, values and beliefs rather than hard facts; (c) anonymity does not make a difference to the types of posted anti-vaccine content, but does so in terms of the volume of such content. Communication initiatives against anti-vaccination should (a) work closely with technological platforms to tackle anonymous anti-vaccine tweets; (b) focus efforts on mis/disinformation in three major arears (in order of importance): the medical nature of vaccines, the belief that vaccination is a tool of manipulation and control for money and power, and the "freedom of health choice" discourse against mandatory vaccination; and (c) go beyond common factual measures-such as detecting, labelling or removing fake news-to address emotions induced by personal memories, values and beliefs.
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页数:17
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