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Lalana Kagal. Paradesi, Sharon M. (Sharon Myrtle), 1986- Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2013-06-17T19:49:47Z 2013-06-17T19:49:47Z 2013 2013 http://hdl.handle.net/1721.1/79238 845315765 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 67-69). The Policy Aware Social Miner (PASM) project focuses on creating awareness of how seemingly harmless social data might reveal sensitive information about a person, which could be potentially abused. It seeks to define good practices around social data mining. PASM allows people to create policies governing the use of their personal information on social networks. Using linked data, PASM semantically enhances the usage restrictions to ensure that potentially sensitive information is identified and appropriate policies are enforced. PASM also enables people to provide refutations for other information about them that is found on the Web. PASM encourages consumers of social information on the Web to use the mined data appropriately by enforcing data policies before returning the search results. PASM provides a solution to the following issue of privacy in social data mining - although people know that searches for data about them are possible, they have no way to either control the data that is put on the Web by others or indicate how they would like to restrict use of their own data. In a user study conducted to measure the performance of PASM in identifying sensitive posts as compared to the study participants, PASM obtained an F-Measure of 84% and an accuracy of 80%. Interestingly, PASM demonstrated a higher recall than precision, a property that was valued by the study participants as all but one participant indicated that they would prefer receiving false positives rather than false negatives. by Sharon Myrtle Paradesi. S.M. 69 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Electrical Engineering and Computer Science. PASM : a Policy Aware Social Miner Policy Aware Social Miner Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="25251507-02ab-45c1-8bc3-c8d4b7778765"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>PASM : a Policy Aware Social Miner</Title> <Subtitle>Policy Aware Social Miner</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2013</PublicationDate> <Authors> <Author> <DisplayName>Paradesi, Sharon M. (Sharon Myrtle), 1986-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Abstract>The Policy Aware Social Miner (PASM) project focuses on creating awareness of how seemingly harmless social data might reveal sensitive information about a person, which could be potentially abused. It seeks to define good practices around social data mining. PASM allows people to create policies governing the use of their personal information on social networks. Using linked data, PASM semantically enhances the usage restrictions to ensure that potentially sensitive information is identified and appropriate policies are enforced. PASM also enables people to provide refutations for other information about them that is found on the Web. PASM encourages consumers of social information on the Web to use the mined data appropriately by enforcing data policies before returning the search results. PASM provides a solution to the following issue of privacy in social data mining - although people know that searches for data about them are possible, they have no way to either control the data that is put on the Web by others or indicate how they would like to restrict use of their own data. In a user study conducted to measure the performance of PASM in identifying sensitive posts as compared to the study participants, PASM obtained an F-Measure of 84% and an accuracy of 80%. Interestingly, PASM demonstrated a higher recall than precision, a property that was valued by the study participants as all but one participant indicated that they would prefer receiving false positives rather than false negatives.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>