Abstract
We introduce the notion of “Socially Shared Health Information” (SSHI) referring to the phenomena of users and health organizations explicitly sharing health related information on social media platforms such as Facebook and Twitter. In order to investigate the phenomena of SSHI, in this paper, we present a multi-method case study of the organizational strategies for and user engagement with the Facebook page of the official portal for the public Danish Healthcare Services (Sundheds.dk). We analysed qualitative data in the form of a semi-structured interview with the social media editor of Sundhed.dk and netnographic observations, and quantitative data from the full historic fetch of the official Facebook wall. Our results show a good alignment between the organizational and social media strategies of the public Danish Healthcare Services but point out the lack of domain-specific metrics to measure its efficacy and effectiveness.
Original language | English |
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Title of host publication | Proceedings of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)/Affiliated Workshops |
Editors | Ansar-Ul-Haque Yasar, Nik Bessis |
Number of pages | 10 |
Place of Publication | Amsterdam |
Publisher | Elsevier |
Publication date | 2016 |
Pages | 298-307 |
DOIs | |
Publication status | Published - 2016 |
Event | The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare - London, United Kingdom Duration: 19 Sept 2016 → 22 Sept 2016 Conference number: 6 http://cs-conferences.acadiau.ca/icth-16/ |
Conference
Conference | The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare |
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Number | 6 |
Country/Territory | United Kingdom |
City | London |
Period | 19/09/2016 → 22/09/2016 |
Internet address |
Series | Procedia Computer Science |
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Volume | 98 |
ISSN | 1877-0509 |
Keywords
- New Public Health
- Health Informatics
- Big Data Analytics
- Social Media
- Sundheds.dk