Departmental Seminar

18/11/2014 - 14:00

Speakers:

 Dr. Inbal Yahav-Shenberger & Prof. David Schwartz

Graduate School of  Business Administration Bar-Ilan University

 

Title:

Detecting Unintentional Information

Leakage in Social Media News Comments

 

Abstract:

Our research concerns 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-obfuscation 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.

 

The Artical:    /files/mba/shared/media/socialsec2014-final.pdf