The 'who' and 'what' of #diabetes on Twitter.
The 'who' and 'what' of #diabetes on Twitter.
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DOI：
10.1177/2055207616688841
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发表时间：
2017-01
期刊：
影响因子：
3.9
通讯作者：
Ulijaszek SJ
中科院分区：
文献类型：
--
作者：
Beguerisse-Díaz M;McLennan AK;Garduño-Hernández G;Barahona M;Ulijaszek SJ
社交媒体正越来越多地用于健康促进，但人们对这些论坛的用户、信息和互动情况知之甚少。关于社交媒体和糖尿病的研究主要集中在患者或解决问题的公共机构上，但没有广泛关注所有参与者或他们贡献的内容的多样性。我们通过系统分析8个月内收集的250万条推文及其作者之间的互动来研究有关糖尿病的Twitter对话。我们回答三个问题。(1)这些推文中出现了哪些主题？(2)谁是最有影响力的用户？(3)哪种类型的用户对哪些主题做出了贡献？我们回答这些问题，使用混合方法的方法，整合技术，从人类学，网络科学和信息检索，如专题编码，时间网络分析和社区和主题检测。与糖尿病相关的推文属于广泛的主题组：健康信息，新闻，社交互动和商业。与此同时，幽默的信息和对流行文化的引用出现一致，超过任何其他类型的推文。我们根据作者的时间“枢纽”和“权威”分数对作者进行分类。虽然枢纽景观随着时间的推移是分散和流动的，但最高权威机构在时间上是高度持久的，包括与糖尿病有关的博客，倡导团体和非政府组织，以及没有特定糖尿病专业知识的营利性实体。最高权力机构根据其Twitter追随者网络分为七个利益群体。我们的研究结果对公共卫生专业人员和政策制定者有影响，他们寻求将社交媒体作为参与工具，并为政策设计提供信息。
Social media are being increasingly used for health promotion, yet the landscape of users, messages and interactions in such fora is poorly understood. Studies of social media and diabetes have focused mostly on patients, or public agencies addressing it, but have not looked broadly at all of the participants or the diversity of content they contribute. We study Twitter conversations about diabetes through the systematic analysis of 2.5 million tweets collected over 8 months and the interactions between their authors. We address three questions. (1) What themes arise in these tweets? (2) Who are the most influential users? (3) Which type of users contribute to which themes? We answer these questions using a mixed-methods approach, integrating techniques from anthropology, network science and information retrieval such as thematic coding, temporal network analysis and community and topic detection. Diabetes-related tweets fall within broad thematic groups: health information, news, social interaction and commercial. At the same time, humorous messages and references to popular culture appear consistently, more than any other type of tweet. We classify authors according to their temporal ‘hub’ and ‘authority’ scores. Whereas the hub landscape is diffuse and fluid over time, top authorities are highly persistent across time and comprise bloggers, advocacy groups and NGOs related to diabetes, as well as for-profit entities without specific diabetes expertise. Top authorities fall into seven interest communities as derived from their Twitter follower network. Our findings have implications for public health professionals and policy makers who seek to use social media as an engagement tool and to inform policy design.