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      The 'who' and 'what' of #diabetes on Twitter

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          Abstract

          Social media are being increasingly used for health promotion. Yet the landscape of users and messages in such public fora is not well understood. So far, studies have typically focused either on people suffering from a disease, or on agencies that address it, but have not looked more broadly at all the participants in the debate and discussions. We study the conversation about diabetes on Twitter through the systematic analysis of a large collection of tweets containing the term 'diabetes', as well as the interactions between their authors. We address three questions: (1) what themes arise in these messages?; (2) who talks about diabetes and in what capacity?; and (3) which type of users contribute to which themes? To answer these questions, we employ a mixed-methods approach, using techniques from anthropology, network science and information retrieval. We find that diabetes-related tweets fall within broad thematic groups: health information, news, social interaction, and commercial. Humorous messages and messages with references to popular culture appear constantly over time, more than any other type of tweet in this corpus. Top 'authorities' are found consistently across time and comprise bloggers, advocacy groups and NGOs related to diabetes, as well as stockmarket-listed companies with no specific diabetes expertise. These authorities fall into seven interest communities in their Twitter follower network. In contrast, the landscape of 'hubs' is diffuse and fluid over time. We discuss the implications of our findings for public health professionals and policy makers. Our methods are generally applicable to investigations where similar data are available.

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          Author and article information

          Journal
          2015-08-24
          2015-10-23
          Article
          1508.05764
          2619bdda-22d5-4476-bdad-c6b1a3362d43

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          History
          Custom metadata
          23 pages, 10 figures, 7 tables. Supplemental spreadsheet available from http://wwwf.imperial.ac.uk/~mbegueri/Docs/Diabetes.xls
          physics.soc-ph cs.CY cs.IR cs.SI

          Social & Information networks,General physics,Applied computer science,Information & Library science

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