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A Comparative Study of Online Privacy Policies and Formats

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Privacy Enhancing Technologies (PETS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5672))

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Abstract

Online privacy policies are difficult to understand. Most privacy policies require a college reading level and an ability to decode legalistic, confusing, or jargon-laden phrases. Privacy researchers and industry groups have devised several standardized privacy policy formats to address these issues and help people compare policies. We evaluated three formats in this paper: layered policies, which present a short form with standardized components in addition to a full policy; the Privacy Finder privacy report, which standardizes the text descriptions of privacy practices in a brief bulleted format; and conventional non-standardized human-readable policies. We contrasted six companies’ policies, deliberately selected to span the range from unusually readable to challenging. Based on the results of our online study of 749 Internet users, we found participants were not able to reliably understand companies’ privacy practices with any of the formats. Compared to natural language, participants were faster with standardized formats but at the expense of accuracy for layered policies. Privacy Finder formats supported accuracy more than natural language for harder questions. Improved readability scores did not translate to improved performance. All formats and policies were similarly disliked. We discuss our findings as well as public policy implications.

Funded by NSF Cyber Trust grant CNS-0627513, Microsoft through the Carnegie Mellon Center for Computational Thinking, Army Research Office grant number DAAD19-02-1-0389 to Carnegie Mellon CyLab, and FCT through the CMU/Portugal Information and Communication Technologies Institute. Thanks to Robert McGuire and Keisha How for programming assistance.

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McDonald, A.M., Reeder, R.W., Kelley, P.G., Cranor, L.F. (2009). A Comparative Study of Online Privacy Policies and Formats. In: Goldberg, I., Atallah, M.J. (eds) Privacy Enhancing Technologies. PETS 2009. Lecture Notes in Computer Science, vol 5672. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03168-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-03168-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03167-0

  • Online ISBN: 978-3-642-03168-7

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