Empirical analysis of posts and interactions: a case of Australian Government Facebook pages

Alam, Sultana Lubna 2016, Empirical analysis of posts and interactions: a case of Australian Government Facebook pages, Pacific Asia journal of the Association for Information Systems, vol. 8, no. 4, pp. 91-110.

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Title Empirical analysis of posts and interactions: a case of Australian Government Facebook pages
Author(s) Alam, Sultana Lubna
Journal name Pacific Asia journal of the Association for Information Systems
Volume number 8
Issue number 4
Article ID 6
Start page 91
End page 110
Total pages 20
Publisher Association for Information Systems
Place of publication Atlanta, Ga.
Publication date 2016-12-31
ISSN 1943-7536
Keyword(s) Facebook
government
post
interaction
Summary Research on government use of Facebook (FB) and citizen engagement has increased in the last five years or so; however there is a scarcity of empirical research that identify the extent of agency and audience engagement on government FB pages. Questions still remains unanswered if agencies with dissimilar functional focus engage differently in FB. Based on a large-scale world-first empirical analysis of over 147 federal government FB pages, this article presents insights on online participation in terms of government posts and citizen interactions observed over three years (2013-2016) across different types of agencies (i.e. operational, policy, regulatory and specialist). Preliminary findings show convincing agency and audience engagement on FB pages as a platform for sharing and communicating. However there are differences among the agencies in terms of audience and agency engagement relative to post activity and interactions. The findings have implications for federal government agencies, both from benchmarking and capability building perspectives.
Language eng
Field of Research 0806 Information Systems
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, PAJAIS
Persistent URL http://hdl.handle.net/10536/DRO/DU:30104039

Document type: Journal Article
Collection: Department of Information Systems and Business Analytics
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