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The a??whoa?? and a??whata?? of #diabetes on Twitter:

机译:一个?哇?还有一个Twitter上#diabetes的数量:

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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 a??huba?? and a??authoritya?? 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.
机译:社交媒体正越来越多地用于促进健康,但是人们对此类论坛中用户,消息和互动的态势了解甚少。社交媒体和糖尿病的研究主要集中在针对患者或公共机构的研究上,但并未广泛地研究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关系,研究了关于糖尿病的Twitter对话。我们解决三个问题。 (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有所贡献?我们使用混合方法来回答这些问题,这些方法综合了人类学,网络科学和信息检索等技术,例如主题编码,时态网络分析以及社区和主题检测。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。同时,幽默的信息和对流行文化的提及始终如一,比任何其他类型的推文都多。我们根据作者的时间分类“ huba”对作者进行分类和一个权威?分数。尽管枢纽格局随时间推移是分散的和多变的,但高层主管部门在整个时间跨度高度持久,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。来自他们的Twitter关注者网络的最高权力机构可归为七个兴趣社区。我们的发现对寻求利用社交媒体作为参与工具并为政策设计提供信息的公共卫生专业人员和政策制定者具有重要意义。

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