@inproceedings{bb31bb27405344b7a3ab90af104c29b0,
title = "A short paper on the incentives to share private information for population estimates",
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.",
author = "Michela Chessa and Jens Grossklags and Patrick Loiseau",
note = "Publisher Copyright: {\textcopyright} International Financial Cryptography Association 2015.; 19th International Conference on Financial Cryptography and Data Security, FC 2015 ; Conference date: 26-01-2015 Through 30-01-2015",
year = "2015",
doi = "10.1007/978-3-662-47854-7_25",
language = "English (US)",
isbn = "9783662478530",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "427--436",
editor = "Tatsuaki Okamoto and Rainer Bohme",
booktitle = "Financial Cryptography and Data Security - 19th International Conference, FC 2015, Revised Selected Papers",
address = "Germany",
}