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社交媒体如何影响人们接种疫苗?对一个人接种 COVID-19 疫苗的态度和意愿的精细可能性模型。

How Does Social Media Influence People to Get Vaccinated? The Elaboration Likelihood Model of a Person's Attitude and Intention to Get COVID-19 Vaccines.

机构信息

Centre for Research in Media and Communication (MENTION), Faculty of Science Social and Humanities, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.

Centre of Social Innovation, Institute of Sustainable Building, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia.

出版信息

Int J Environ Res Public Health. 2022 Feb 18;19(4):2378. doi: 10.3390/ijerph19042378.

Abstract

The global COVID-19 mass vaccination program has created a polemic amongst pro- and anti-vaccination groups on social media. However, the working mechanism on how the shared information might influence an individual decision to be vaccinated is still limited. This study embarks on adopting the elaboration likelihood model (ELM) framework. We examined the function of central route factors (information completeness and information accuracy) as well as peripheral route factors (experience sharing and social pressure) in influencing attitudes towards vaccination and the intention to obtain the vaccine. We use a factorial design to create eight different scenarios in the form of Twitter posts to test the interaction and emulate the situation on social media. In total, 528 respondents were involved in this study. Findings from this study indicated that both the central route and peripheral route significantly influence individually perceived informativeness and perceived persuasiveness. Consequently, these two factors significantly influence attitude towards vaccination and intention to obtain the vaccine. According to the findings, it is suggested that, apart from evidence-based communication, the government or any interested parties can utilize both experience sharing and social pressure elements to increase engagement related to COVID-19 vaccines on social media, such as Twitter.

摘要

全球范围内的 COVID-19 大规模疫苗接种计划在社交媒体上引发了支持和反对疫苗接种群体之间的争议。然而,关于共享信息如何影响个人接种疫苗决策的作用机制仍有限。本研究采用了精细加工可能性模型(ELM)框架。我们研究了中心路径因素(信息完整性和信息准确性)以及边缘路径因素(经验分享和社会压力)对疫苗接种态度和接种意愿的影响。我们采用因子设计,以推文的形式创建了八个不同的场景来测试交互作用并模拟社交媒体上的情况。共有 528 名受访者参与了这项研究。研究结果表明,中心路径和边缘路径都显著影响个体感知的信息量和感知的说服力。因此,这两个因素显著影响对疫苗接种的态度和接种疫苗的意愿。根据研究结果,建议政府或任何有兴趣的各方除了基于证据的沟通外,还可以利用经验分享和社会压力元素来增加社交媒体(如 Twitter)上与 COVID-19 疫苗相关的参与度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6013/8872449/64d0b25e1e62/ijerph-19-02378-g001.jpg

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