@inproceedings{7e80d391e15947b09c1f06d02527b7a1,
title = "What websites know about you : privacy policy analysis using information extraction",
abstract = "The need for privacy protection on the Internet is well recognized. Everyday users are asked to release personal information in order to use online services and applications. Service providers do not always need all the data they gather to be able to offer a service. Thus users should be aware of what data is collected by a provider to judge whether this is too much for the services offered. Providers are obliged to describe how they treat personal data in privacy policies. By reading the policy users could discover, amongst others, what personal data they agree to give away when choosing to use a service. Unfortunately, privacy policies are long legal documents that users notoriously refuse to read. In this paper we propose a solution which automatically analyzes privacy policy text and shows what personal information is collected. Our solution is based on the use of Information Extraction techniques and represents a step towards the more ambitious aim of automated grading of privacy policies.",
author = "E. Costante and {Hartog, den}, J.I. and M. Petkovic",
year = "2013",
doi = "10.1007/978-3-642-35890-6_11",
language = "English",
isbn = "978-3-642-35889-0",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "146--159",
editor = "{Di Pietro}, R. and J. Herranz and E. Damiani and R. State",
booktitle = "Data Privacy Management and Autonomous Spontaneous Security (7th International Workshop, DPM 2012, and 5th International Workshop, SETOP 2012, Pisa, Italy, September 13-14, 2012. Revised Selected Papers)",
address = "Germany",
}