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The ‘who’ and ‘what’ of #diabetes on Twitter
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 pa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001201/ https://www.ncbi.nlm.nih.gov/pubmed/29942579 http://dx.doi.org/10.1177/2055207616688841 |
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author | Beguerisse-Díaz, Mariano McLennan, Amy K. Garduño-Hernández, Guillermo Barahona, Mauricio Ulijaszek, Stanley J. |
author_facet | Beguerisse-Díaz, Mariano McLennan, Amy K. Garduño-Hernández, Guillermo Barahona, Mauricio Ulijaszek, Stanley J. |
author_sort | Beguerisse-Díaz, Mariano |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6001201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-60012012018-06-25 The ‘who’ and ‘what’ of #diabetes on Twitter Beguerisse-Díaz, Mariano McLennan, Amy K. Garduño-Hernández, Guillermo Barahona, Mauricio Ulijaszek, Stanley J. Digit Health Original Research 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. SAGE Publications 2017-01-01 /pmc/articles/PMC6001201/ /pubmed/29942579 http://dx.doi.org/10.1177/2055207616688841 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc-nd/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License (http://www.creativecommons.org/licenses/by-nc-nd/3.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Beguerisse-Díaz, Mariano McLennan, Amy K. Garduño-Hernández, Guillermo Barahona, Mauricio Ulijaszek, Stanley J. The ‘who’ and ‘what’ of #diabetes on Twitter |
title | The ‘who’ and ‘what’ of #diabetes on Twitter |
title_full | The ‘who’ and ‘what’ of #diabetes on Twitter |
title_fullStr | The ‘who’ and ‘what’ of #diabetes on Twitter |
title_full_unstemmed | The ‘who’ and ‘what’ of #diabetes on Twitter |
title_short | The ‘who’ and ‘what’ of #diabetes on Twitter |
title_sort | ‘who’ and ‘what’ of #diabetes on twitter |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001201/ https://www.ncbi.nlm.nih.gov/pubmed/29942579 http://dx.doi.org/10.1177/2055207616688841 |
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