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Diabetes Information in Social Media
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0001-9062-1609
Lund University , Sweden.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).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) / [ed] Karsten Klein, Yi-Na Li, and Andreas Kerren, ACM Publications, 2018, p. 104-105Conference paper, Poster (with or without abstract) (Refereed)
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 Human Computer Interaction
Research subject
Computer Science, Information and software visualization; Computer and Information Sciences Computer Science, Computer Science; Computer and Information Sciences Computer Science, Media Technology; Health and Caring Sciences, Health Informatics
Identifiers
URN: urn:nbn:se:lnu:diva-78214DOI: 10.1145/3231622.3232508Scopus ID: 2-s2.0-85055512544ISBN: 978-1-4503-6501-7 (print)OAI: oai:DiVA.org:lnu-78214DiVA, id: diva2:1254406
Conference
11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden
Available from: 2018-10-09 Created: 2018-10-09 Last updated: 2020-10-26Bibliographically approved

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

Authority records

Lincke, AlisaLundberg, JennyMilrad, MarceloLundberg, Jonas

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Lincke, AlisaLundberg, JennyMilrad, MarceloLundberg, JonasJusufi, Ilir
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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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