DocumentCode :
3643756
Title :
Intelligent Content-Based Privacy Assistant for Facebook
Author :
Michal Jakob;Zbynek Moler;Michal Pechoucek;Roman Vaculin
Author_Institution :
Dept. of Cybern., Czech Tech. Univ., Prague, Czech Republic
Volume :
1
fYear :
2011
Firstpage :
499
Lastpage :
500
Abstract :
Although most online social networks now offer fine-grained controls of information sharing, these are rarely used, both because their use imposes additional burden on the user and because there are too many control settings for an average user to handle. To mitigate this problem, we have developed an Intelligent Privacy Assistant for Face book that partially automates the assignment of sharing permissions, taking into account the content of the information published and user´s high-level sharing policies. The Assistant uses a novel social web privacy language, employs named entity recognition algorithms to annotate sensitive parts of published information and an answer set programming system to evaluate user´s privacy policies and determine the list of safe recipients. On a test scenario, the Assistant reached 73.8% and 95.2% performance in correctly determining safe and unsafe recipients, respectively.
Keywords :
"Privacy","Facebook","Logic gates","Data mining","Cognition","Electronic mail"
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Print_ISBN :
978-1-4577-1373-6
Type :
conf
DOI :
10.1109/WI-IAT.2011.67
Filename :
6040720
Link To Document :
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