当前位置: X-MOL 学术Social Media + Society › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Live Free and Die: How Social Media Amplify Populist Vaccine Resistance
Social Media + Society ( IF 5.5 ) Pub Date : 2024-09-10 , DOI: 10.1177/20563051241277293
Andrew Rojecki 1 , Viki Askounis Conner 1 , Peter Royal 1
Affiliation  

The COVID-19 pandemic led to over one million American deaths, disproportionately suffered by those who resisted vaccination by championing individual autonomy over the collective good. The article takes as its point of departure that vaccine resistance is a recurring phenomenon in U.S. history with multiple origins. Among these are the absence of a consistent approach to public health policy—the combined result of the absence of federal police power—and tensions between the public good and libertarian values. The latest instance of populist resistance was assisted by changes in the information system. Relying on several lines of research, we specify a model of group identification that highlights social media’s role in this latest eruption of opposition. A key element is an attentive public that selectively shares information based on reputational concerns. We test our model by applying frame analysis on a body of data drawn from U.S.-based news content and audience reactions on Facebook.

中文翻译:


自由生死:社交媒体如何放大民粹主义疫苗抵抗力



COVID-19 大流行导致超过 100 万人死亡,而那些因主张个人自主高于集体利益而抵制疫苗接种的人所遭受的死亡尤为严重。文章的出发点是,疫苗耐药性是美国历史上反复出现的现象,有多种根源。其中包括缺乏一致的公共卫生政策方针(联邦警察权力缺失的综合结果)以及公共利益与自由主义价值观之间的紧张关系。信息系统的变化助长了民粹主义抵抗的最新实例。依靠多项研究,我们指定了一种群体识别模型,强调社交媒体在最近爆发的反对派中所扮演的角色。一个关键因素是细心的公众,他们根据声誉问题有选择地分享信息。我们通过对从美国新闻内容和 Facebook 上的受众反应中提取的数据体进行框架分析来测试我们的模型。
更新日期:2024-09-10
down
wechat
bug