JMIR出版公司使用Twitter进行公共卫生监测和研究的伦理问题:卡塔尔世界杯8强波胆分析从研究文献中开发伦理概念分类% a Conway,Mike %+加州大学圣地亚哥分校家庭与预防医学系，9500 Gilman Drive # 0905, La Jolla, CA, 92093, United States, 1 858 8224478, mike.conway@utah.edu %K社交媒体%K twitter消息%K伦理%D 2014 %7 22.12.2014 %9 Short Paper %J J Med Internet Res %G English %X近年来，社交媒体和微博平台的兴起，加上"大数据"处理和分析技术的发展，为利用用户生成的内容进行公共卫生监测提供了重要机会。然而，相对较少的注意力集中在开发合乎道德的方法来处理这些新数据源。目的:在回顾文献的基础上，本研究试图对使用Twitter数据时出现的与公共卫生监测相关的伦理概念进行分类，以期:(1)明确确定研究人员处理Twitter数据时可能出现的一系列潜在伦理问题和关切;(2)通过发展经验衍生的伦理概念分类，为形成一套公共卫生监测最佳做法提供起点。方法:我们检索Medline, Compendex, PsycINFO和哲学家索引，使用一组选定的关键词来识别引用伦理概念的twitter相关研究论文。我们最初的查询集确定了四个书目数据库中的342个参考文献。我们使用纳入/排除标准筛选这些参考文献的标题和摘要，排除重复和不可用的论文，直到剩下49篇参考文献。然后我们阅读了这49篇文章的全文，丢弃了36篇，最终纳入了13篇文章。 Ethical concepts were then identified in each of these 13 articles. Finally, based on a close reading of the text, a taxonomy of ethical concepts was constructed based on ethical concepts discovered in the papers. Results: From these 13 articles, we iteratively generated a taxonomy of ethical concepts consisting of 10 top level categories: privacy, informed consent, ethical theory, institutional review board (IRB)/regulation, traditional research vs Twitter research, geographical information, researcher lurking, economic value of personal information, medical exceptionalism, and benefit of identifying socially harmful medical conditions. Conclusions: In summary, based on a review of the literature, we present a provisional taxonomy of public health surveillance-related ethical concepts that emerge when using Twitter data. %M 25533619 %R 10.2196/jmir.3617 %U //www.mybigtv.com/2014/12/e290/ %U https://doi.org/10.2196/jmir.3617 %U http://www.ncbi.nlm.nih.gov/pubmed/25533619