The latest developments in natural language processing and machine learning have created new opportunities in legal text analysis. In particular, we look at the texts of online privacy policies after the implementation of the European General Data Protection Regulation (GDPR). We analyse 32 privacy policies to design a methodology for automated detection and assessment of compliance of these documents. Preliminary results confirm the pressing issues with current privacy policies and the beneficial use of this approach in empowering consumers in making more informed decisions. However, we also encountered several serious issues in the process. This paper introduces the challenges through concrete examples of context dependence, omission of information, and multilingualism.

GDPR privacy policies in CLAUDETTE: Challenges of omission, context and multilingualism / Liepin R.; Contissa G.; Drazewski K.; Lagioia F.; Lippi M.; Micklitz H.-W.; Palka P.; Sartor G.; Torroni P.. - ELETTRONICO. - 2385:(2019), pp. 0-0. (Intervento presentato al convegno 3rd Workshop on Automated Semantic Analysis of Information in Legal Texts, ASAIL 2019 tenutosi a Universite de Montreal, can nel 2019).

GDPR privacy policies in CLAUDETTE: Challenges of omission, context and multilingualism

Lippi M.;
2019

Abstract

The latest developments in natural language processing and machine learning have created new opportunities in legal text analysis. In particular, we look at the texts of online privacy policies after the implementation of the European General Data Protection Regulation (GDPR). We analyse 32 privacy policies to design a methodology for automated detection and assessment of compliance of these documents. Preliminary results confirm the pressing issues with current privacy policies and the beneficial use of this approach in empowering consumers in making more informed decisions. However, we also encountered several serious issues in the process. This paper introduces the challenges through concrete examples of context dependence, omission of information, and multilingualism.
2019
CEUR Workshop Proceedings
3rd Workshop on Automated Semantic Analysis of Information in Legal Texts, ASAIL 2019
Universite de Montreal, can
2019
Liepin R.; Contissa G.; Drazewski K.; Lagioia F.; Lippi M.; Micklitz H.-W.; Palka P.; Sartor G.; Torroni P.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1356522
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