在推特上使用#DataSavesLives标签:卡塔尔世界杯8强波胆分析探索性和专题性分析& A Teodorowski,Piotr & A Rodgers,Sarah & E & A Fleming,Kate & A Frith,Lucy & +利物浦大学公共卫生、政策与系统系，惠兰大楼，利物浦，L69 3GL，英国，44 0151 794 5329，p.teodorowski@liverpool.ac.uk %K消费者参与%K患者参与%K利益相关者参与%K社交媒体%K公众参与%K活动%K大数据%K研究%K信任%K推文%K推特%K感知%K使用%K用户%K数据共享%K伦理%K社区%K标签%D 2022 %7 15.11.2022 %9原文% jj医疗互联网研究%G英语%X“数据拯救生命”是一项公众参与活动，强调大数据研究的好处，旨在建立公众对这一新兴研究领域的信任。目的:本研究探讨#DataSavesLives标签是如何在Twitter上使用的。我们关注的是英国政府及其机构采用#DataSavesLives来支持他们建立一个保存国民健康服务(NHS)用户医疗数据的新数据库的计划。方法:使用NCapture for NVivo 12保存在2021年4月19日至7月15日期间使用#DataSavesLives标签发布的公开推文。所有的推文都被编码了两次。首先，每条推文都被赋予积极、中立或消极的态度。其次，进行归纳主题分析。 The results of the thematic analysis were mapped under 3 models of public engagement: deficit, dialogue, and participatory. Results: Of 1026 unique tweets available for qualitative analysis, discussion around #DataSavesLives was largely positive (n=716, 69.8%) or neutral (n=276, 26.9%) toward the campaign with limited negative attitudes (n=34, 3.3%). Themes derived from the #DataSavesLives debate included ethical sharing, proactively engaging the public, coproducing knowledge with the public, harnessing potential, and gaining an understanding of big data research. The Twitter discourse was largely positive toward the campaign. The hashtag is predominantly used by similar-minded Twitter users to share information about big data projects and to spread positive messages about big data research when there are public controversies. The hashtag is generally used by organizations and people supportive of big data research. Tweet authors recognize that the public should be proactively engaged and involved in big data projects. The campaign remains UK centric. The results indicate that the communication around big data research is driven by the professional community and remains 1-way as members of the public rarely use the hashtag. Conclusions: The results demonstrate the potential of social media but draws attention to hashtag usage being generally confined to “Twitter bubbles”: groups of similar-minded Twitter users. %M 36378518 %R 10.2196/38232 %U //www.mybigtv.com/2022/11/e38232 %U https://doi.org/10.2196/38232 %U http://www.ncbi.nlm.nih.gov/pubmed/36378518