恐惧与嘲笑:疫苗支持派与反疫苗派互联网模因的定量内容分析。
Fear and Derision: A Quantitative Content Analysis of Provaccine and Antivaccine Internet Memes.
机构信息
University of Colorado, Colorado Springs, CO, USA.
出版信息
Health Educ Behav. 2019 Dec;46(6):1012-1023. doi: 10.1177/1090198119866886. Epub 2019 Sep 6.
The purpose of the study was to examine the characteristics of Internet memes created and disseminated by proponents and opponents of vaccinations. A quantitative content analysis was performed on 234 pro- and antivaccine memes culled from the vaccination fan pages with the greatest number of followers on Facebook. Coding variables included whether the meme was pro- or antivaccine, percentage of factually incorrect claims, mention of the out-group, persuasive appeals (emotion, fear, and rationality), degree of sarcasm, and number of reactions and shares. The most prevalent themes concerned vaccine-preventable diseases, vaccine injury/safety/autism, and conspiracy theories. Independent tests indicated that provaccination memes were more likely to use sarcasm whereas antivaccination memes were more likely to contain emotion and fear appeals and inaccurate claims. The percentage veracity of the claims in each meme was fact-checked using authoritative scientific sources. A path analysis applying structural equation modeling revealed that memes containing characteristics that were antivaccine (vs. provaccine), appealed to emotion, and appealed to rationality significantly contributed to greater likelihood of social media reactions and shares. Additional analysis determined that both pro- and antivaccination memes tended to contain more gist than verbatim information, and both groups did not significantly differ on this gist-to-verbatim variable. Findings offer insights to understand the persuasion tactics that provaccine and antivaccine groups apply in memes to persuade others via social media. Understanding these techniques will enable the development of health communication strategies to combat false and damaging vaccine information disseminated on the Internet.
这项研究的目的是检验由疫苗赞成者和反对者创作和传播的互联网模因的特征。对从 Facebook 上拥有最多关注者的疫苗接种粉丝专页中提取的 234 个支持和反对疫苗接种的模因进行了定量内容分析。编码变量包括模因是支持还是反对疫苗接种、事实错误声明的百分比、提及外群体、有说服力的诉求(情感、恐惧和理性)、讽刺程度以及反应和分享的次数。最常见的主题涉及可通过疫苗预防的疾病、疫苗伤害/安全性/自闭症和阴谋论。独立测试表明,支持疫苗接种的模因更可能使用讽刺,而反对疫苗接种的模因更可能包含情感和恐惧诉求以及不准确的声明。使用权威科学来源对每个模因中的声明的真实性百分比进行了事实核查。应用结构方程建模的路径分析表明,包含具有反疫苗(与支持疫苗)特征、诉诸情感和诉诸理性的模因,显著增加了社交媒体反应和分享的可能性。进一步的分析确定,支持和反对疫苗接种的模因都倾向于包含更多的主旨而不是逐字信息,并且这两组在主旨与逐字信息变量上没有显著差异。这些发现提供了深入了解疫苗赞成者和反对者在模因中使用的说服策略的机会,这些策略通过社交媒体来说服他人。了解这些技术将使制定健康传播策略成为可能,以打击在互联网上传播的虚假和有害疫苗信息。