A short paper on the incentives to share private information for population estimates

Michela Chessa, Jens Grossklags, Patrick Loiseau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationFinancial Cryptography and Data Security - 19th International Conference, FC 2015, Revised Selected Papers
EditorsTatsuaki Okamoto, Rainer Bohme
PublisherSpringer Verlag
Pages427-436
Number of pages10
ISBN (Print)9783662478530
DOIs
StatePublished - Jan 1 2015
Event19th International Conference on Financial Cryptography and Data Security, FC 2015 - San Juan, Puerto Rico
Duration: Jan 26 2015Jan 30 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8975
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other19th International Conference on Financial Cryptography and Data Security, FC 2015
CountryPuerto Rico
CitySan Juan
Period1/26/151/30/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Chessa, M., Grossklags, J., & Loiseau, P. (2015). A short paper on the incentives to share private information for population estimates. In T. Okamoto, & R. Bohme (Eds.), Financial Cryptography and Data Security - 19th International Conference, FC 2015, Revised Selected Papers (pp. 427-436). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8975). Springer Verlag. https://doi.org/10.1007/978-3-662-47854-7_25