FC 2015, 19th International Conference on Financial Cryptography and Data Security, 26-30 January 2015, Puerto Rico, USA / Also published in LNCS, Volume 8975/2015
Consumers are often willing to contribute their personal data for analytics projects that may create new insights into societal problems. However, consumers also have justified privacy concerns about the release of their data. We study the trade-off between privacy concerns related to data release and the incentives to contribute to the estimation of a population average of a private attribute. Consumers may decide whether to participate in the analytics project, and what level of data precision they are willing to provide.We show that setting a minimum precision level for participating users leads to a strict improvement of the estimation.
Type:
Conference
City:
Puerto Rico
Date:
2015-01-26
Department:
Data Science
Eurecom Ref:
4517
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in FC 2015, 19th International Conference on Financial Cryptography and Data Security, 26-30 January 2015, Puerto Rico, USA / Also published in LNCS, Volume 8975/2015 and is available at : http://dx.doi.org/10.1007/978-3-662-47854-7_25
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