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Big social data analytics for public health: Facebook engagement and performance
2016
2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)
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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
doi:10.1109/healthcom.2016.7749497
dblp:conf/healthcom/StratonHMHGLV16
fatcat:iex35cbaanbzngg2waazvfpqni