Output details
11 - Computer Science and Informatics
Brunel University London
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Article title
Mining social network data for personalisation and privacy concerns: a case study of Facebook's Beacon
Type
D - Journal article
Title of journal
International Journal of Business Information Systems
Article number
-
Volume number
13
Issue number
2
First page of article
173
ISSN of journal
1746-0980
Year of publication
2013
Number of additional authors
2
Additional information
<20> The paper is one of few practical studies that have developed methods for analysing user blogs to conceptualise how users’ privacy is violated by data-tracking and behaviour surveillance via online marketing tools. The key contribution is an analytical framework that characterises different qualitative aspects of a major breach of privacy via social networking in order to develop guidance on how to design privacy-friendly systems.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
