Factors Engaging Users of Diabetes Social Media Channels on Facebook, Twitter, and Instagram: Observational Study
Autor: | Rolf Wynn, Eirik Årsand, Elia Gabarron, Dillys Larbi, Per Hasvold, Enrique Dorronzoro |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Male
medicine.medical_specialty 020205 medical informatics Emoji social media media_common.quotation_subject 030209 endocrinology & metabolism Health Informatics 02 engineering and technology Norwegian lcsh:Computer applications to medicine. Medical informatics 03 medical and health sciences 0302 clinical medicine Diabetes Mellitus 0202 electrical engineering electronic engineering information engineering medicine Humans Social media Empowerment media_common Original Paper diabetes VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801 lcsh:Public aspects of medicine Public health Reproducibility of Results lcsh:RA1-1270 Advertising language.human_language Inter-rater reliability language lcsh:R858-859.7 Female Observational study Health education VDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801 Psychology engagement |
Zdroj: | Journal of Medical Internet Research Journal of Medical Internet Research, Vol 22, Iss 9, p e21204 (2020) |
Popis: | Background Diabetes patient associations and diabetes-specific patient groups around the world are present on social media. Although active participation and engagement in these diabetes social media groups has been mostly linked to positive effects, very little is known about the content that is shared on these channels or the post features that engage their users the most. Objective The objective of this study was to analyze (1) the content and features of posts shared over a 3-year period on 3 diabetes social media channels (Facebook, Twitter, and Instagram) of a diabetes association, and (2) users’ engagement with these posts (likes, comments, and shares). Methods All social media posts published from the Norwegian Diabetes Association between January 1, 2017, and December 31, 2019, were extracted. Two independent reviewers classified the posts into 7 categories based on their content. The interrater reliability was calculated using Cohen kappa. Regression analyses were carried out to analyze the effects of content topic, social media channel, and post features on users’ engagement (likes, comments, and shares). Results A total of 1449 messages were posted. Posts of interviews and personal stories received 111% more likes, 106% more comments, and 112% more shares than miscellaneous posts (all P Conclusions Diabetes social media users seem to be least engaged in posts with content topics that a priori could be linked to greater empowerment: research and innovation on diabetes, and health education. Diabetes social media groups, public health authorities, and other stakeholders interested in sharing research and innovation content and promoting health education on social media should consider including videos and emoji in their posts, and publish on popular and visual-based social media channels, such as Facebook and Instagram, to increase user engagement. International Registered Report Identifier (IRRID) RR2-10.1186/s12913-018-3178-7 |
Databáze: | OpenAIRE |
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