Supporting Privacy Management via Community Experience and Expertise

dc.contributor.authorGoecks, Jeremy
dc.contributor.authorMynatt, Elizabeth D.
dc.date.accessioned2017-04-15T12:06:16Z
dc.date.available2017-04-15T12:06:16Z
dc.date.issued2005
dc.description.abstractWe propose a novel approach for supporting privacy management that leverages community experience and expertise via the process of social navigation. Social navigation simplifies the often complex task of managing privacy settings, and systems that employ social navigation can advantageously complement user privacy management processes. We implemented our approach to privacy management in the Acumen system; Acumen uses social navigation to enable individuals to manage their Internet cookies both manually and automatically based on the behavior of others in the community. We present the Acumen system in detail and discuss data obtained from a six-week, preliminary deployment of Acumen. Lastly, we discuss challenges that systems implementing our approach must address if they are to be successful.
dc.identifier.doi10.1007/1-4020-3591-8_21
dc.identifier.isbn978-1-4020-3591-3
dc.language.isoen
dc.publisherSpringer London, Dordrecht Amsterdam
dc.relation.ispartofCommunities and Technologies: Proceedings of the Second International Conference on Communities and Technologies 2005
dc.relation.ispartofseriesCommunities and Technologies
dc.titleSupporting Privacy Management via Community Experience and Expertise
dc.typeText
gi.citation.endPage417
gi.citation.startPage397
gi.citations.count10
gi.citations.elementJeremy Goecks, W. Keith Edwards, Elizabeth D. Mynatt (2009): Challenges in supporting end-user privacy and security management with social navigation, In: Proceedings of the 5th Symposium on Usable Privacy and Security, doi:10.1145/1572532.1572539
gi.citations.elementWarut Khern-am-nuai, Weining Yang, Ninghui Li (2016): Using Context-Based Password Strength Meter to Nudge Users' Password Generating Behavior: A Randomized Experiment, In: SSRN Electronic Journal, doi:10.2139/ssrn.2800499
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gi.citations.elementAndrew Clement, David Ley, Terry Costantino, Dan Kurtz, Mike Tissenbaum (2010): PIPWatch Toolbar: Using Social Navigation to Enhance Privacy Protection and Compliance, In: IEEE Technology and Society Magazine 1(29), doi:10.1109/mts.2010.935989
gi.citations.elementNathaniel S. Good, Jens Grossklags, Deirdre K. Mulligan, Joseph A. Konstan (2007): Noticing notice, In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, doi:10.1145/1240624.1240720
gi.citations.elementAndrew Besmer, Jason Watson, Heather Richter Lipford (2010): The impact of social navigation on privacy policy configuration, In: Proceedings of the Sixth Symposium on Usable Privacy and Security, doi:10.1145/1837110.1837120
gi.citations.elementWarut Khern-am-nuai, Matthew J. Hashim, Alain Pinsonneault, Weining Yang, Ninghui Li (2023): Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments, In: Information Systems Research 1(34), doi:10.1287/isre.2022.1125
gi.citations.elementPedro Pinto, Romeu Lages, Manuel Au-Yong-Oliveira (2020): Web Cookies: Is There a Trade-off Between Website Efficiency and User Privacy?, In: Advances in Intelligent Systems and Computing, doi:10.1007/978-3-030-45691-7_67
gi.citations.elementVaibhav Garg, Sameer Patil, Apu Kapadia, L. Jean Camp (2013): Peer-produced privacy protection, In: 2013 IEEE International Symposium on Technology and Society (ISTAS): Social Implications of Wearable Computing and Augmediated Reality in Everyday Life, doi:10.1109/istas.2013.6613114
gi.conference.locationMilano, Italy
gi.conference.sessiontitleFull Papers

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