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ABSTRACT
The Platform for Privacy Preferences (P3P) provides a standard computer-readable format for privacy policies and a protocol that enables web browsers to read and process these policies automatically. We developed software to query a set of web sites for P3P policies, check the validity of each policy, and analyze the information practices it describes. We used this software to analyze 588 P3P-enabled web sites found by checking for P3P policies on 5,856 web sites on 17 July 2003. The sites we checked for P3P policies were taken from several lists of popular web sites, as well as from "crawling" indexes of shopping, news, children's and government web sites. We present the first major analysis of the data practices of P3P-enabled web sites.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 10
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Serge Egelman , Lorrie Faith Cranor , Abdur Chowdhury, An analysis of P3P-enabled web sites among top-20 search results, Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet, August 13-16, 2006, Fredericton, New Brunswick, Canada
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Lorrie Faith Cranor , Serge Egelman , Steve Sheng , Aleecia M. McDonald , Abdur Chowdhury, P3P deployment on websites, Electronic Commerce Research and Applications, v.7 n.3, p.274-293, November, 2008
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Ian K. Reay , Patricia Beatty , Scott Dick , James Miller, A Survey and Analysis of the P3P Protocol's Agents, Adoption, Maintenance, and Future, IEEE Transactions on Dependable and Secure Computing, v.4 n.2, p.151-164, April 2007
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Serge Egelman , Janice Tsai , Lorrie Faith Cranor , Alessandro Acquisti, Timing is everything?: the effects of timing and placement of online privacy indicators, Proceedings of the 27th international conference on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
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REVIEW
"Myles F. McNally, III : Reviewer"
Computer ethics seeks to reduce the unintended or undesirable consequences of technology through accurate prediction. In this paper, Horner argues that predictive modeling does not provide any protection against future risk. Rather, he argues that
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