期刊文章JMIR出版公司医学论坛上的匿名海报能被重新识别吗?卡塔尔世界杯8强波胆分析%A Bobicev,Victoria %A Sokolova,Marina %A El Emam,Khaled %A Jafer,Yasser %A Dewar,Brian %A Jonker,Elizabeth %A Matwin,Stan %+ CHEO研究所，401史密斯路，渥太华，ON, K1H 8L1，加拿大，1 613 737 7600 ext 4104, sokolova@uottawa.ca %K隐私%K个人健康信息%K医学论坛%K文本数据挖掘%D 2013 %7 03.10.2013 %9原创论文%J J医学互联网Res %G英文%X背景:医学论坛的参与者经常在他们的在线帖子中透露自己的个人健康信息。为了不介意披露敏感的个人健康信息，一些参与者可能会通过匿名发帖来隐藏自己的身份。他们可以通过使用假身份、昵称或笔名来做到这一点，而这些身份无法轻易被追踪到。然而，每个人的写作风格都有其独特的特点，通过作者归因分析可以确定匿名用户的真实身份。尽管之前有关于作者身份归因问题的研究，但在医学论坛上关于作者身份自动归因的研究一直缺乏。本文的重点是证明在医学论坛中基于字符的作者归因比基于文字的方法工作得更好。目的:目标是建立一个系统，可以准确地将发布在医学论坛上的消息的作者属性。Authorship Attributor系统使用文本分析技术抓取医疗论坛，并自动关联相同作者所写的消息。 Authorship Attributor processes unstructured texts regardless of the document type, context, and content. Methods: The messages were labeled by nicknames of the forum participants. We evaluated the system’s performance through its accuracy on 6000 messages gathered from 2 medical forums on an in vitro fertilization (IVF) support website. Results: Given 2 lists of candidate authors (30 and 50 candidates, respectively), we obtained an F score accuracy in detecting authors of 75% to 80% on messages containing 100 to 150 words on average, and 97.9% on longer messages containing at least 300 words. Conclusions: Authorship can be successfully detected in short free-form messages posted on medical forums. This raises a concern about the meaningfulness of anonymous posting on such medical forums. Authorship attribution tools can be used to warn consumers wishing to post anonymously about the likelihood of their identity being determined. %M 24091380 %R 10.2196/jmir.2514 %U //www.mybigtv.com/2013/10/e215/ %U https://doi.org/10.2196/jmir.2514 %U http://www.ncbi.nlm.nih.gov/pubmed/24091380