Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/8080
Title: Mining social network data for personalisation and privacy concerns: A case study of Facebook’s Beacon
Authors: Jamal, A
Coughlan, J
Kamal, M
Keywords: Privacy;Social networks;Facebook;Privacy concerns;Blogs;Data mining
Issue Date: 2013
Publisher: Inderscience Publishers
Citation: International Journal of Business Information Systems, 13(2), 173 - 198, 2013
Abstract: The 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.
Description: This is the post-print version of the final published paper that is available from the link below.
URI: http://www.inderscience.com/offer.php?id=54334
http://bura.brunel.ac.uk/handle/2438/8080
DOI: http://dx.doi.org/10.1504/IJBIS.2013.054334
ISSN: 1746-0972
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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