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首页> 外文会议>2016 International FRUCT Conference on Intelligence, Social Media and Web >Does everybody lie? characterizing answerers in health-related CQA
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Does everybody lie? characterizing answerers in health-related CQA

机译：每个人都撒谎吗？表征与健康相关的CQA中的答卷者

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摘要

The study described in the paper aims at multi-faceted characterization of active community question answering (CQA) users who provide answers to health-related questions. The study employs various research techniques - both qualitative (surveys) and quantitative. With two online surveys we get insights into 1. perception of online health-related information and its use by patients by medical professionals and 2. motivtion of most active CQA answerers, a significant share of which apparently constitute users with medical education. In the second series of experiments we apply topic modeling to a yearly collection of questions and answers from a popular Russian CQA servce in order to find users focused on a particular topic. Further, we attempt to find users with professional medical backround based on the lexis of their answers. The obtained results provide a beter understanding of motivation and backround of CQA users and can be used for the improvement of CQA services, as well as for solving problems such as CQA content quality evaluation, expert search, and question routing, etc.
机译：本文中描述的研究旨在对提供社区健康相关问题的答案的活跃社区问答用户（CQA）进行多方面的表征。该研究采用了各种研究技术-定性（调查）和定量研究。通过两次在线调查，我们可以洞悉1.医学专家对在线健康相关信息的了解及其对患者的使用；以及2.最活跃的CQA回答者的动机，其中很大一部分显然构成了接受医学教育的用户。在第二系列实验中，我们将主题建模应用于来自俄罗斯流行的CQA服务的年度问题和答案集合，以便找到专注于特定主题的用户。此外，我们尝试根据答案的词汇来寻找具有专业医学背景的用户。获得的结果可以更好地理解CQA用户的动机和背景，可用于改善CQA服务以及解决CQA内容质量评估，专家搜索和问题路由等问题。

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