Learning Privacy Expectations by Crowdsourcing Contextual Informational Norms
نویسندگان
چکیده
Designing programmable privacy logic frameworks that correspond to social, ethical, and legal norms has been a fundamentally hard problem. Contextual integrity (CI) (Nissenbaum 2010) offers a model for conceptualizing privacy that is able to bridge technical design with ethical, legal, and policy approaches. While CI is capable of capturing the various components of contextual privacy in theory, it is challenging to discover and formally express these norms in operational terms.
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Designing programmable privacy logic frameworks that correspond to social, ethical and legal norms has been a fundamentally hard problem. Contextual integrity (CI) [1] offers a model for conceptualizing privacy that is able to bridge technical design with ethical, legal, and policy approaches. While CI is capable of capturing the various components of contextual privacy in theory, no framework ...
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تاریخ انتشار 2016