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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings

In recent years, social media has offered new opportunitiesfor interaction and distribution of public healthinformation within and across organisations. In this paper, weanalysed data from Facebook walls of 153 public organisationsusing unsupervised machine learning techniques to understandthe characteristics of user engagement and post performance.Our analysis indicates an increasing trend of user engagement onpublic health posts during recent years. Based on the clusteringresults, our analysis shows that Photo and Link type postsare most favourable for high and medium user engagementrespectively.

Publication information

Original languageEnglish
Title of host publication2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)
EditorsAlois Paulin
Number of pages6
Place of PublicationLos Alamitos, CA
PublisherIEEE
Publication date2016
Pages442-447
Article number7749497
ISBN (Electronic)9781509033706, 9781509033713
DOIs
StatePublished - 2016
EventIEEE HealthCom 16 - BMW Welt, Munich, Germany
Duration: 14 Sep 201617 Sep 2016
Conference number: 18
http://ieeehealthcom2016.com/

Conference

ConferenceIEEE HealthCom 16
Nummer18
LocationBMW Welt
LandGermany
ByMunich
Periode14/09/201617/09/2016
Internetadresse

ID: 45602079