Modeling privacy requirements for quality manipulation of information on social networking sites

Chen, S; Williams, MA

Modeling privacy requirements for quality manipulation of information on social networking sites

Chen, S Williams, MA

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Publication Type:: Conference Proceeding
Citation:: AAAI Spring Symposium - Technical Report, 2010, SS-10-05 pp. 42 - 47
Issue Date:: 2010-10-21

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Field	Value	Language
dc.contributor.author	Chen, S	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2010-10-21	en_US
dc.identifier.citation	AAAI Spring Symposium - Technical Report, 2010, SS-10-05 pp. 42 - 47	en_US
dc.identifier.isbn	9781577354598	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16697
dc.description.abstract	The volume and diversity of information shared and exchanged within and across social networking sites is increasing. As a result new and challenging requirements are needed for quality manipulation of the information. An important requirement is information usability with privacy dimensions. Existing social networking sites do not provide adequate functionalities to fulfill privacy requirements of information use. This is largely due to the lack of a privacy-by-design approach that conducts an effective privacy requirements analysis as a means to develop suitable models for social networking that protect privacy. To bridge this gap, this paper analyses and models privacy requirements for a recommendation service in social networking sites.	en_US
dc.relation.ispartof	AAAI Spring Symposium - Technical Report	en_US
dc.title	Modeling privacy requirements for quality manipulation of information on social networking sites	en_US
dc.type	Conference Proceeding
utslib.citation.volume	SS-10-05	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	150307 Innovation and Technology Management	en_US
utslib.for	150302 Business Information Systems	en_US
dc.location.activity	Stanford University	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	SS-10-05	en_US

Abstract:

The volume and diversity of information shared and exchanged within and across social networking sites is increasing. As a result new and challenging requirements are needed for quality manipulation of the information. An important requirement is information usability with privacy dimensions. Existing social networking sites do not provide adequate functionalities to fulfill privacy requirements of information use. This is largely due to the lack of a privacy-by-design approach that conducts an effective privacy requirements analysis as a means to develop suitable models for social networking that protect privacy. To bridge this gap, this paper analyses and models privacy requirements for a recommendation service in social networking sites.

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http://hdl.handle.net/10453/16697