First Monday
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This month: May 2012 A market for unbiased private data: Paying individuals according to their privacy attitudes Since there is no reason why third parties should not pay individuals for the use of their data, this paper introduces a realistic market that would allow payments to be made while taking into account the privacy attitude of participants. It is usually important to use unbiased samples to obtain credible statistical results; this market includes a mechanism that compensates those individuals that participate according to their risk attitudes. This mechanism in turn benefits buyers, as they pay less for the data than they would if they compensated all individuals with the same maximum fee that the most concerned ones expect. |
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Also this month! Digital inclusion and data profiling In the United States, digital inclusion policies designed to introduce poor people, communities of color, indigenous, and migrants to the economic, social, and political benefits of broadband lie in tension with new practices and techniques of online surveillance. While online surveillance activity affects all broadband users, members of chronically underserved communities are potentially more vulnerable to the harmful effects of surveillant technologies. This paper examines specific examples of commercial data profiling against a longer history of low–tech data profiling of chronically underserved communities. It concludes by calling for issues of online privacy and surveillance to punctuate digital inclusion discourse. |
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