The Community for Technology Leaders
RSS Icon
Subscribe
Lyon
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-1-4577-1373-6
pp: 499-500
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.
INDEX TERMS
privacy protection, social web, information extraction, policies, Facebook
CITATION
Michal Jakob, Zbynek Moler, Michal Pechoucek, Roman Vaculín, "Intelligent Content-Based Privacy Assistant for Facebook", WI-IAT, 2011, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies 2011, pp. 499-500, doi:10.1109/WI-IAT.2011.67
374 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool