@inproceedings{db3499a4d1804c738b32c98246bcf8c3,
title = "A cooperative game-theoretic approach to quantify the value of personal data in networks",
abstract = "The Internet has become an essential part of the citizens' life and of the economy. In this online ecosystem, service providers collect large amounts of personal data about individuals and use it to offer services from which they derive high profits. Personal data therefore has clear intrinsic economic value, which is extensively exploited by online services. At the same time, users also benefit from this ecosystem by being granted free access to services but it is unclear whether this appropriately compensates them for the release of their personal data. As the amount of data collected by online services is exploding, users and organizations increasingly ask for more fair, transparent, and personalized compensations. This naturally raises the question how much is personal data worth?",
keywords = "Cooperative game theory, Personal data, Social network",
author = "Michela Chessa and Patrick Loiseau",
year = "2017",
month = sep,
day = "27",
doi = "10.1145/3106723.6106732",
language = "English",
series = "Proceedings of NetEcon 2017 the 12th Workshop on the Economics of Networks, Systems and Computation - In Conjunction with ACM EC 2017 the 18th ACM Conference on Economics and Computation",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of NetEcon 2017 the 12th Workshop on the Economics of Networks, Systems and Computation - In Conjunction with ACM EC 2017 the 18th ACM Conference on Economics and Computation",
note = "12th Workshop on the Economics of Networks, Systems and Computation, NetEcon 2017 ; Conference date: 27-06-2017",
}