TY - JOUR AU - Tangherlini, Timothy R AU - Roychowdhury, Vwani AU - Glenn, Beth AU - Crespi, Catherine M AU - Bandari, Roja AU - Wadia, Akshay AU - Falahi, Misagh AU - Ebrahimzadeh, Ehsan AU - Bastani, Roshan PY - 2016 DA - 2016/11/22 TI -“妈妈博客”和疫苗豁免叙述:JO - JMIR公共卫生监测SP - e166 VL - 2 IS - 2 KW -疫苗接种KW -社交媒体KW -机器学习KW -个人叙述KW -互联网KW -健康知识KW -态度KW -实践AB -背景:社交媒体提供了一个前所未有的机会来探索人们如何在非常大的范围内谈论医疗保健。大量研究表明，有用户论坛的网站对人们寻求与健康有关的信息的重要性。父母们转向其中一些被俗称为“妈妈博客”的网站，分享对孩子健康保健的担忧，包括接种疫苗。尽管有大量工作考虑了社交媒体(尤其是Twitter)在疫苗接种和其他卫生保健相关问题讨论中的作用，但很少有工作描述这些讨论的潜在结构和有说服力的故事讲述的作用，特别是在帖子长度没有限制的网站上。了解有说服力的故事在互联网范围内的作用，可以对人们如何讨论疫苗接种提供有用的见解，包括寻求豁免的行为，这与最近一些社区的群体免疫力下降有关。目的:开发一种自动的、可扩展的机器学习方法，用于在专门讨论育儿问题的社交媒体网站上聚合故事。我们希望通过个人的经验交流和评论，发现个人在特定主题领域的总体叙事框架。我们还想在研究期间描述这些网站叙事框架的时间趋势。方法:为了确保我们的数据捕捉的是对近期事件的长期讨论，而不是短期反应，我们开发了一个由4056名用户贡献的199万篇帖子的数据集，并在105个月的时间里查看了2个育儿网站的2012万次索引。 Using probabilistic methods, we determined the topics of discussion on these parenting sites. We developed a generative statistical-mechanical narrative model to automatically extract the underlying stories and story fragments from millions of posts. We aggregated the stories into an overarching narrative framework graph. In our model, stories were represented as network graphs with actants as nodes and their various relationships as edges. We estimated the latent stories circulating on these sites by modeling the posts as a sampling of the hidden narrative framework graph. Temporal trends were examined based on monthly user-poststatistics. Results: We discovered that discussions of exemption from vaccination requirements are highly represented. We found a strong narrative framework related to exemption seeking and a culture of distrust of government and medical institutions. Various posts reinforced part of the narrative framework graph in which parents, medical professionals, and religious institutions emerged as key nodes, and exemption seeking emerged as an important edge. In the aggregate story, parents used religion or belief to acquire exemptions to protect their children from vaccines that are required by schools or government institutions, but (allegedly) cause adverse reactions such as autism, pain, compromised immunity, and even death. Although parents joined and left the discussion forums over time, discussions and stories about exemptions were persistent and robust to these membership changes. Conclusions: Analyzing parent forums about health care using an automated analytic approach, such as the one presented here, allows the detection of widespread narrative frameworks that structure and inform discussions. In most vaccination stories from the sites we analyzed, it is taken for granted that vaccines and not vaccine preventable diseases (VPDs) pose a threat to children. Because vaccines are seen as a threat, parents focus on sharing successful strategies for avoiding them, with exemption being the foremost among these strategies. When new parents join such sites, they may be exposed to this endemic narrative framework in the threads they read and to which they contribute, which may influence their health care decision making. SN - 2369-2960 UR - http://publichealth.www.mybigtv.com/2016/2/e166/ UR - https://doi.org/10.2196/publichealth.6586 UR - http://www.ncbi.nlm.nih.gov/pubmed/27876690 DO - 10.2196/publichealth.6586 ID - info:doi/10.2196/publichealth.6586 ER -