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  • 标题:A market for unbiased private data: Paying individuals according to their privacy attitudes
  • 本地全文:下载
  • 作者:Christina Aperjis ; Bernardo A. Huberman
  • 期刊名称:First Monday
  • 电子版ISSN:1396-0466
  • 出版年度:2012
  • 卷号:17
  • 期号:5
  • DOI:10.5210/fm.v17i5.4013
  • 语种:English
  • 出版社:University of Illinois at Chicago Library
  • 摘要:Since there is, in principle, no reason why third parties should not pay individuals for the use of their data, we introduce a realistic market that would allow these payments to be made while taking into account the privacy attitude of the participants. And since it is usually important to use unbiased samples to obtain credible statistical results, we examine the properties that such a market should have and suggest a mechanism that compensates those individuals that participate according to their risk attitudes. Equally important, we show that this mechanism also 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.
  • 关键词:economics of information;privacy;markets
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