2021
DOI: 10.2196/30756
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Mapping Individual Differences on the Internet: Case Study of the Type 1 Diabetes Community

Abstract: Background Social media platforms, such as Twitter, are increasingly popular among communities of people with chronic conditions, including those with type 1 diabetes (T1D). There is some evidence that social media confers emotional and health-related benefits to people with T1D, including emotional support and practical information regarding health maintenance. Research on social media has primarily relied on self-reports of web-based behavior and qualitative assessment of web-based content, which… Show more

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Cited by 3 publications
(3 citation statements)
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“…Aside from technology, human assistance and labor also come into play as external resources, especially when material resources are limited. Not only do online diabetes community pages exist to serve as hubs for storytelling and network building [ 34 ], but they also serve as a digital space to access tangible resources. A participant once recalled their inability to access refills for insulin supply, in which they were able to find through a proximal source: a community member they met online who had an excess supply of insulin.…”
Section: Discussionmentioning
confidence: 99%
“…Aside from technology, human assistance and labor also come into play as external resources, especially when material resources are limited. Not only do online diabetes community pages exist to serve as hubs for storytelling and network building [ 34 ], but they also serve as a digital space to access tangible resources. A participant once recalled their inability to access refills for insulin supply, in which they were able to find through a proximal source: a community member they met online who had an excess supply of insulin.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the ability for topic modeling to scale to thousands of documents facilitates its use in large data sets (Banks et al, 2018). For example, topic modeling has been used to study open-ended survey questions (Finch et al, 2018) and tweets in specific communities (Bedford-Petersen & Weston, 2021). Note that topic modeling is a good tool for uncovering broad subject-matter-based themes but not subtle nuances, which will still require human coding.…”
Section: Tutorialmentioning
confidence: 99%
“…Social networking issues are examined through SNA, with past Twitter studies employing SNA in the fields of social science (Bahri & Widhyharto, 2021;Budi & Pamungkas, 2020;Sari et al, 2021;Tous-Rovirosa & Dergacheva, 2021), computer science (Alwafi, 2021;Morales-I-gras et al, 2021;Yang et al, 2021), medicine (Bedford-petersen & Weston, 2021;Moukarzel et al, 2021;Nazar & Pieters, 2021), engineering (Fani et al, 2020;Madani et al, 2020;Rathnayake, 2021) and business management and accounting (Battisti et al, 2021;Watanabe et al, 2021). From the analysis results on Scopus for Twitter, 276 articles published from 2006 to 2021 employed SNA.…”
Section: Research On Twitter With Snamentioning
confidence: 99%