A market for unbiased private data: Paying individuals according to their privacy attitudes

Aperjis, Christina ; Huberman, Bernardo

HP Development Company

关键词: social computing;    private data;    markets for data;   

RP-ID  :  HPL-2012-252

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 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.