Broniatowski David A, Hilyard Karen M, Dredze Mark
Department of Engineering Management and Systems Engineering, School of Engineering and Applied Science, The George Washington University, Washington, DC, USA.
Department of Health Promotion & Behavior, College of Public Health, University of Georgia, Athens, GA, USA.
Vaccine. 2016 Jun 14;34(28):3225-8. doi: 10.1016/j.vaccine.2016.04.044. Epub 2016 May 11.
Vaccine refusal rates have increased in recent years, highlighting the need for effective risk communication, especially over social media. Fuzzy-trace theory predicts that individuals encode bottom-line meaning ("gist") and statistical information ("verbatim") in parallel and those articles expressing a clear gist will be most compelling. We coded news articles (n=4581) collected during the 2014-2015 Disneyland measles for content including statistics, stories, or bottom-line gists regarding vaccines and vaccine-preventable illnesses. We measured the extent to which articles were compelling by how frequently they were shared on Facebook. The most widely shared articles expressed bottom-line gists, although articles containing statistics were also more likely to be shared than articles lacking statistics. Stories had limited impact on Facebook shares. Results support Fuzzy Trace Theory's predictions regarding the distinct yet parallel impact of categorical gist and statistical verbatim information on public health communication.
近年来,疫苗拒绝率有所上升,这凸显了进行有效风险沟通的必要性,尤其是在社交媒体上。模糊痕迹理论预测,个体同时对底线意义(“主旨”)和统计信息(“逐字记录”)进行编码,那些表达清晰主旨的文章将最具说服力。我们对在2014 - 2015年迪士尼乐园麻疹疫情期间收集的新闻文章(n = 4581)进行编码,内容包括有关疫苗和疫苗可预防疾病的统计数据、故事或底线主旨。我们通过文章在脸书上的分享频率来衡量其具有说服力的程度。分享最广泛的文章表达了底线主旨,不过包含统计数据的文章也比缺乏统计数据的文章更有可能被分享。故事对脸书分享的影响有限。结果支持了模糊痕迹理论关于分类主旨和统计逐字信息在公共卫生沟通中独特但并行影响的预测。