TY -的盟Fernandez-Luque Luis AU - Karlsen Randi AU -梅尔顿,吉纳维芙B PY - 2012 DA - 2012/01/31 TI - HealthTrust:社交网络的方法获取在线健康视频乔- J地中海互联网Res SP - e22六世- 14 - 1 KW -医学信息学KW -信息存储和检索KW -视频KW -在线系统KW -健康传播KW -糖尿病AB -背景:社会化媒体在医疗领域成为主流。尽管社交媒体平台上有大量准确可靠的健康信息，但要找到高质量的健康信息却很困难。误导性的健康信息通常很受欢迎(例如，反疫苗接种视频)，因此在一般搜索引擎上得到了很高的评价。我们相信，可以利用社区关于卫生信息质量的智慧来帮助创建检索高质量社交媒体内容的工具。目的:探索提取在线健康社区权威指标的方法，以及这些指标如何与内容质量呈正相关。方法:我们设计了一个名为HealthTrust的指标，用于评估健康社区中社交媒体内容(如博客文章或视频)的可信度。HealthTrust指标基于链接分析计算在线健康社区中的声誉。我们用这个指标来检索YouTube上关于糖尿病的视频和频道。在两个不同的实验中，健康消费者对17个视频给出了427个评分，专业人士对23个视频给出了162个评分。此外，两名专业人士对30个糖尿病频道进行了审查。 Results: HealthTrust may be used for retrieving online videos on diabetes, since it performed better than YouTube Search in most cases. Overall, of 20 potential channels, HealthTrust’s filtering allowed only 3 bad channels (15%) versus 8 (40%) on the YouTube list. Misleading and graphic videos (eg, featuring amputations) were more commonly found by YouTube Search than by searches based on HealthTrust. However, some videos from trusted sources had low HealthTrust scores, mostly from general health content providers, and therefore not highly connected in the diabetes community. When comparing video ratings from our reviewers, we found that HealthTrust achieved a positive and statistically significant correlation with professionals (Pearson r10 = .65, P = .02) and a trend toward significance with health consumers (r7 = .65, P = .06) with videos on hemoglobinA1c, but it did not perform as well with diabetic foot videos. Conclusions: The trust-based metric HealthTrust showed promising results when used to retrieve diabetes content from YouTube. Our research indicates that social network analysis may be used to identify trustworthy social media in health communities. SN - 1438-8871 UR - //www.mybigtv.com/2012/1/e22/ UR - https://doi.org/10.2196/jmir.1985 UR - http://www.ncbi.nlm.nih.gov/pubmed/22356723 DO - 10.2196/jmir.1985 ID - info:doi/10.2196/jmir.1985 ER -