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Diabetes Information in Social Media
Linnéuniversitetet.ORCID iD: 0000-0001-9062-1609
Lund university.
Linnéuniversitetet.ORCID iD: 0000-0002-6937-345X
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2018 (English)In: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI ’18), ACM Publications, 2018, p. 104-105Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

Social media platforms have created new ways for people to communicate and express themselves. Thus, it is important to explore how e-health related information is generated and disseminated in these platforms. The aim of our current efforts is to investigate the content and flow of information when people in Sweden use Twitter to talk about diabetes related issues. To achieve our goals, we have used data mining and visualization techniques in order to explore, analyze and cluster Twitter data we have collected during a period of 10 months. Our initial results indicate that patients use Twitter to share diabetes related information and to communicate about their disease as an alternative way that complements the traditional channels used by health care professionals.

Place, publisher, year, edition, pages
ACM Publications, 2018. p. 104-105
Keywords [en]
Social media, Twitter data analysis, diabetes, visualization
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-23915DOI: 10.1145/3231622.3232508ISBN: 9781450365017 (print)OAI: oai:DiVA.org:bth-23915DiVA, id: diva2:1710735
Conference
11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden
Available from: 2022-11-14 Created: 2022-11-14 Last updated: 2022-11-14Bibliographically approved

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Publisher's full texthttp://doi.acm.org/10.1145/3231622.3232508

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Jusufi, Ilir

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Lincke, AlisaLundberg, JennyMilrad, MarceloLundberg, JonasJusufi, Ilir
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