在 Twitter 上使用话题标签#DataSavesLives:探索性和主题分析。
Use of the Hashtag #DataSavesLives on Twitter: Exploratory and Thematic Analysis.
机构信息
Department of Public Health, Policy & Systems, University of Liverpool, Liverpool, United Kingdom.
NHS Digital, Liverpool, United Kingdom.
出版信息
J Med Internet Res. 2022 Nov 15;24(11):e38232. doi: 10.2196/38232.
BACKGROUND
"Data Saves Lives" is a public engagement campaign that highlights the benefits of big data research and aims to establish public trust for this emerging research area.
OBJECTIVE
This study explores how the hashtag #DataSavesLives is used on Twitter. We focused on the period when the UK government and its agencies adopted #DataSavesLives in an attempt to support their plans to set up a new database holding National Health Service (NHS) users' medical data.
METHODS
Public tweets published between April 19 and July 15, 2021, using the hashtag #DataSavesLives were saved using NCapture for NVivo 12. All tweets were coded twice. First, each tweet was assigned a positive, neutral, or negative attitude toward the campaign. Second, inductive thematic analysis was conducted. 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.
背景
“数据拯救生命”是一项公众参与活动,强调大数据研究的益处,旨在为这一新兴研究领域建立公众信任。
目的
本研究探讨了在 Twitter 上使用标签#DataSavesLives 的情况。我们专注于英国政府及其机构采用#DataSavesLives 的时期,试图支持他们建立一个新的数据库来存储国民保健制度(NHS)用户的医疗数据的计划。
方法
使用 NCapture for NVivo 12 保存了 2021 年 4 月 19 日至 7 月 15 日期间使用标签#DataSavesLives 发布的公共推文。所有推文都进行了两次编码。首先,每条推文都被分配了对活动的积极、中性或消极态度。其次,进行了归纳主题分析。主题分析的结果被映射到 3 种公众参与模式下:缺陷、对话和参与式。
结果
在可进行定性分析的 1026 条独特推文中,围绕#DataSavesLives 的讨论对活动的态度主要是积极(n=716,69.8%)或中性(n=276,26.9%),持消极态度的推文很少(n=34,3.3%)。从#DataSavesLives 辩论中得出的主题包括伦理共享、主动吸引公众、与公众共同制作知识、利用潜力和了解大数据研究。Twitter 上的讨论对该活动基本持积极态度。该标签主要由志同道合的 Twitter 用户使用,用于分享大数据项目的信息,并在出现公众争议时传播有关大数据研究的正面信息。该标签通常由支持大数据研究的组织和个人使用。推文作者认识到应该主动吸引公众参与大数据项目。该活动仍然以英国为中心。结果表明,大数据研究的传播是由专业社区推动的,并且仍然是单向的,因为公众很少使用该标签。
结论
研究结果展示了社交媒体的潜力,但也引起了人们对标签使用通常仅限于“Twitter 泡沫”的关注:即相似想法的 Twitter 用户群体。