{"title":"Live Free and Die: How Social Media Amplify Populist Vaccine Resistance","authors":"Andrew Rojecki, Viki Askounis Conner, Peter Royal","doi":"10.1177/20563051241277293","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":47920,"journal":{"name":"Social Media + Society","volume":null,"pages":null},"PeriodicalIF":5.5000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Media + Society","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/20563051241277293","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍：
Social Media + Society is an open access, peer-reviewed scholarly journal that focuses on the socio-cultural, political, psychological, historical, economic, legal and policy dimensions of social media in societies past, contemporary and future. We publish interdisciplinary work that draws from the social sciences, humanities and computational social sciences, reaches out to the arts and natural sciences, and we endorse mixed methods and methodologies. The journal is open to a diversity of theoretic paradigms and methodologies. The editorial vision of Social Media + Society draws inspiration from research on social media to outline a field of study poised to reflexively grow as social technologies evolve. We foster the open access of sharing of research on the social properties of media, as they manifest themselves through the uses people make of networked platforms past and present, digital and non. The journal presents a collaborative, open, and shared space, dedicated exclusively to the study of social media and their implications for societies. It facilitates state-of-the-art research on cutting-edge trends and allows scholars to focus and track trends specific to this field of study.
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