Data Mining and Privacy of Social Network Sites' Users: Implications of the Data Mining Problem

TitleData Mining and Privacy of Social Network Sites' Users: Implications of the Data Mining Problem
Publication TypeJournal Article
Year of Publication2015
AuthorsAl-Saggaf, Y, Islam, M
JournalScience & Engineering Ethics
Volume21
Issue4
Pagination941-966
Date Published2015
Publication Languageeng
ISBN Number13533452
Keywordscomputer , CONTENT , Data , DECISION , LOGIC , Mathematical , Moral , Online , Privacy , SOCIAL
AbstractThis paper explores the potential of data mining as a technique that could be used by malicious data miners to threaten the privacy of social network sites (SNS) users. It applies a data mining algorithm to a real dataset to provide empirically-based evidence of the ease with which characteristics about the SNS users can be discovered and used in a way that could invade their privacy. One major contribution of this article is the use of the decision forest data mining algorithm (SysFor) to the context of SNS, which does not only build a decision tree but rather a forest allowing the exploration of more logic rules from a dataset. One logic rule that SysFor built in this study, for example, revealed that anyone having a profile picture showing just the face or a picture showing a family is less likely to be lonely. Another contribution of this article is the discussion of the implications of the data mining problem for governments, businesses, developers and the SNS users themselves. 
NotesAl-Saggaf, Yeslam 1; Email Address: yalsaggaf@csu.edu.au Islam, Md 2; Affiliation: 1: School of Computing and Mathematics, Charles Sturt University, Boorooma Street Wagga Wagga 2678 Australia 2: Centre for Research in Complex Systems, School of Computing and Mathematics, Charles Sturt University, Bathurst Australia; Source Info: Aug2015, Vol. 21 Issue 4, p941; Subject Term: DATA mining; Subject Term: ONLINE social networks -- Research; Subject Term: COMPUTER security -- Moral & ethical aspects; Subject Term: CONTENT analysis (Communication); Subject Term: DECISION trees; Subject Term: MATHEMATICAL models; Subject Term: MORAL & ethical aspects; Author-Supplied Keyword: Content analysis; Author-Supplied Keyword: Data mining; Author-Supplied Keyword: Logic rules; Author-Supplied Keyword: Privacy; Author-Supplied Keyword: Social network sites (SNS); Number of Pages: 26p; Document Type: Article
DOI10.1007/s11948-014-9564-6

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