2014 IEEE International Conference on Information Reuse and Integration (IRI)
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Abstract

This paper is concerned with unintentional information leakage (UIL) through social networks, and in particular, Facebook Organizations often use forms of self censorship in order to maintain security. Non-identification of individuals, products, or places is seen as a sufficient means of information protection. A prime example is the replacement of a name with a supposedly non-identifying initial. This has traditionally been effective in obfuscating the identity of military personnel, protected witnesses, minors, victims or suspects who need to be granted a level of protection through anonymity. We challenge the effectiveness of this form of censorship in light of current uses and ongoing developments in Social Networks showing that name-obfits cation mandated by court or military order can be systematically compromised through the unintentional actions of public social network commenters. We propose a qualitative method for recognition and characterization of UIL followed by a quantitative study that automatically detects UIL comments.
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