Lack of Trust, Conspiracy Beliefs, and Social Media Use Predict COVID-19 Vaccine Hesitancy

被引:306
|
作者
Jennings, Will [1 ]
Stoker, Gerry [1 ]
Bunting, Hannah [1 ]
Valgardsson, Viktor Orri [1 ]
Gaskell, Jennifer [1 ]
Devine, Daniel [2 ]
McKay, Lawrence [1 ]
Mills, Melinda C. [3 ,4 ]
机构
[1] Univ Southampton, Sch Econ Social & Polit Sci, Southampton SO17 1BJ, Hants, England
[2] Univ Oxford, St Hildas Coll, Oxford OX4 1DY, England
[3] Univ Oxford, Leverhulme Ctr Demog Sci, Oxford OX1 1NF, England
[4] Univ Oxford, Nuffield Coll, Oxford OX1 1NF, England
关键词
COVID-19; vaccination; trust; misinformation; HEALTH INFORMATION; ACCEPTANCE; ATTITUDES; SCALE;
D O I
10.3390/vaccines9060593
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 COVID-19 vaccines are rolled out across the world, there are growing concerns about the roles that trust, belief in conspiracy theories, and spread of misinformation through social media play in impacting vaccine hesitancy. We use a nationally representative survey of 1476 adults in the UK between 12 and 18 December 2020, along with 5 focus groups conducted during the same period. Trust is a core predictor, with distrust in vaccines in general and mistrust in government raising vaccine hesitancy. Trust in health institutions and experts and perceived personal threat are vital, with focus groups revealing that COVID-19 vaccine hesitancy is driven by a misunderstanding of herd immunity as providing protection, fear of rapid vaccine development and side effects, and beliefs that the virus is man-made and used for population control. In particular, those who obtain information from relatively unregulated social media sources-such as YouTube-that have recommendations tailored by watch history, and who hold general conspiratorial beliefs, are less willing to be vaccinated. Since an increasing number of individuals use social media for gathering health information, interventions require action from governments, health officials, and social media companies. More attention needs to be devoted to helping people understand their own risks, unpacking complex concepts, and filling knowledge voids.
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页数:14
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