1 Harvard School of Dental Medicine, Boston, MA, USA.
2 Northeastern University College of Social Sciences and Humanities, Boston, MA, USA.
Health Educ Behav. 2018 Aug;45(4):599-606. doi: 10.1177/1090198117739673. Epub 2017 Dec 21.
This article analyzes the digital childhood vaccination information network for vaccine-hesitant parents. The goal of this study was to explore the structure and influence of vaccine-hesitant content online by generating a database and network analysis of vaccine-relevant content.
We used Media Cloud, a searchable big-data platform of over 550 million stories from 50,000 media sources, for quantitative and qualitative study of an online media sample based on keyword selection. We generated a hyperlink network map and measured indegree centrality of the sources and vaccine sentiment for a random sample of 450 stories.
28,122 publications from 4,817 sources met inclusion criteria. Clustered communities formed based on shared hyperlinks; communities tended to link within, not among, each other. The plurality of information was provaccine (46.44%, 95% confidence interval [39.86%, 53.20%]). The most influential sources were in the health community (National Institutes of Health, Centers for Disease Control and Prevention) or mainstream media ( New York Times); some user-generated sources also had strong influence and were provaccine (Wikipedia). The vaccine-hesitant community rarely interacted with provaccine content and simultaneously used primary provaccine content within vaccine-hesitant narratives.
The sentiment of the overall conversation was consistent with scientific evidence. These findings demonstrate an online environment where scientific evidence online drives vaccine information outside of the vaccine-hesitant community but is also prominently used and misused within the robust vaccine-hesitant community. Future communication efforts should take current context into account; more information may not prevent vaccine hesitancy.
本文分析了针对疫苗犹豫父母的数字化儿童疫苗接种信息网络。本研究的目的是通过生成疫苗相关内容的数据库和网络分析,探索在线疫苗犹豫内容的结构和影响。
我们使用 Media Cloud,这是一个可搜索的大数据平台,包含来自 5 万家媒体来源的超过 5.5 亿个故事,对基于关键词选择的在线媒体样本进行定量和定性研究。我们生成了一个超链接网络图,并测量了来源的入度中心性和随机选择的 450 个故事中的疫苗情绪。
来自 4817 个来源的 28122 篇文章符合纳入标准。基于共享超链接形成了聚类社区;社区倾向于在内部链接,而不是在彼此之间链接。多数信息是支持疫苗的(46.44%,95%置信区间[39.86%,53.20%])。最有影响力的来源是在健康社区(美国国立卫生研究院、疾病控制和预防中心)或主流媒体(《纽约时报》);一些用户生成的来源也具有很强的影响力且支持疫苗(维基百科)。疫苗犹豫社区很少与支持疫苗的内容互动,同时在疫苗犹豫叙事中使用主要的支持疫苗内容。
整体对话的情绪与科学证据一致。这些发现表明,在一个在线环境中,科学证据在线推动了疫苗信息在疫苗犹豫社区之外传播,但也在强大的疫苗犹豫社区中被广泛使用和滥用。未来的传播工作应考虑当前的背景;更多的信息可能并不能预防疫苗犹豫。