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Big Social Data Analytics: A Model for the Public Sector
Bin Saip, Mohamed A.
Bin Saip, Mohamed A.
Publication Date
2019
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The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
Open Access status
Accepted for publication
Institution
University of Bradford
Department
Faculty of Engineering and Informatics
Awarded
2019
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Abstract
The influence of Information and Communication Technologies (ICTs)
particularly internet technology has had a fundamental impact on the
way government is administered, provides services and interacts with citizens.
Currently, the use of social media is no longer limited to informal environments
but is an increasingly important medium of communication between citizens and
governments. The extensive and increasing use of social media will continue to
generate huge amounts of user-generated content known as Big Social Data
(BSD). The growing body of BSD presents innumerable opportunities as well as
challenges for local government planning, management and delivery of public
services to citizens. However, the governments have not yet utilised the
potential of BSD for better understanding the public and gaining new insights
from this new way of interactions. Some of the reasons are lacking in the
mechanism and guidance to analyse this new format of data. Thus, the aim of
this study is to evaluate how the body of BSD can be mined, analysed and
applied in the context of local government in the UK. The objective is to develop
a Big Social Data Analytics (BSDA) model that can be applied in the case of local
government. Data generated from social media over a year were collected,
collated and analysed using a range of social media analytics and network
analysis tools and techniques. The final BSDA model was applied to a local
council case to evaluate its impact in real practice. This study allows to better
understand the methods of analysing the BSD in the public sector and extend
the literature related to e-government, social media, and social network theory
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Type
Thesis
Qualification name
PhD