Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/8080
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dc.contributor.authorJamal, A-
dc.contributor.authorCoughlan, J-
dc.contributor.authorKamal, M-
dc.date.accessioned2014-02-25T14:57:12Z-
dc.date.available2014-02-25T14:57:12Z-
dc.date.issued2013-
dc.identifier.citationInternational Journal of Business Information Systems, 13(2), 173 - 198, 2013en_US
dc.identifier.issn1746-0972-
dc.identifier.urihttp://www.inderscience.com/offer.php?id=54334en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/8080-
dc.descriptionThis is the post-print version of the final published paper that is available from the link below.en_US
dc.description.abstractThe popular success of online social networking sites (SNS) such as Facebook is a hugely tempting resource of data mining for businesses engaged in personalised marketing. The use of personal information, willingly shared between online friends' networks intuitively appears to be a natural extension of current advertising strategies such as word-of-mouth and viral marketing. However, the use of SNS data for personalised marketing has provoked outrage amongst SNS users and radically highlighted the issue of privacy concern. This paper inverts the traditional approach to personalisation by conceptualising the limits of data mining in social networks using privacy concern as the guide. A qualitative investigation of 95 blogs containing 568 comments was collected during the failed launch of Beacon, a third party marketing initiative by Facebook. Thematic analysis resulted in the development of taxonomy of privacy concerns which offers a concrete means for online businesses to better understand SNS business landscape - especially with regard to the limits of the use and acceptance of personalised marketing in social networks.en_US
dc.language.isoenen_US
dc.publisherInderscience Publishersen_US
dc.subjectPrivacyen_US
dc.subjectSocial networksen_US
dc.subjectFacebooken_US
dc.subjectPrivacy concernsen_US
dc.subjectBlogsen_US
dc.subjectData miningen_US
dc.titleMining social network data for personalisation and privacy concerns: A case study of Facebook’s Beaconen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1504/IJBIS.2013.054334-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Active Staff-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths/IS and Computing-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/People and Interactivity Research Centre-
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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