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Big Social Data Analytics for Public Health: Facebook Engagement and Performance

Publikation: Forskning - peer reviewKonferencebidrag i proceedings

In recent years, social media has offered new opportunities for interaction and distribution of public health information within and across organisations. In this paper, we analysed data from Facebook walls of 153 public organisations using unsupervised machine learning techniques to understand the characteristics of user engagement and post performance. Our analysis indicates an increasing trend of user engagement on public health posts during recent years. Based on the clustering results, our analysis shows that Photo and Link type posts are most favourable for high and medium user engagement respectively.

Publikationsoplysninger

OriginalsprogEngelsk
Titel2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)
RedaktørerAlois Paulin
Antal sider6
Udgivelses stedLos Alamitos, CA
ForlagIEEE
Publikationsdato2016
Sider442-447
Artikelnummer7749497
ISBN (Elektronisk)9781509033706, 9781509033713
DOI
StatusUdgivet - 2016
BegivenhedIEEE HealthCom 16 - BMW Welt, Munich, Tyskland
Varighed: 14 sep. 201617 sep. 2016
Konferencens nummer: 18
http://ieeehealthcom2016.com/

Konference

KonferenceIEEE HealthCom 16
Nummer18
LokationBMW Welt
LandTyskland
ByMunich
Periode14/09/201617/09/2016
Internetadresse

ID: 45602079