CLAUDETTE : an automated detector of potentially unfair clauses in online terms of service

dc.contributor.author	LIPPI, Marco
dc.contributor.author	PALKA, Przemyslaw
dc.contributor.author	CONTISSA, Giuseppe
dc.contributor.author	LAGIOIA, Francesca
dc.contributor.author	MICKLITZ, Hans-Wolfgang
dc.contributor.author	SARTOR, Giovanni
dc.contributor.author	TORRONI, Paolo
dc.date.accessioned	2020-10-12T09:37:44Z
dc.date.available	2020-10-12T09:37:44Z
dc.date.issued	2019
dc.identifier.citation	Artificial intelligence and law, 2019, Vol. 27, pp. 117–139	en
dc.identifier.issn	0924-8463
dc.identifier.issn	1572-8382
dc.identifier.uri	https://hdl.handle.net/1814/68557
dc.description	First published online: 15 February 2019	en
dc.description.abstract	Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer. We present an experimental study where machine learning is employed to automatically detect such potentially unfair clauses. Results show that the proposed system could provide a valuable tool for lawyers and consumers alike.	en
dc.format.mimetype	application/pdf	en
dc.language.iso	en	en
dc.publisher	Springer Netherlands	en
dc.relation.ispartof	Artificial intelligence and law	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.title	CLAUDETTE : an automated detector of potentially unfair clauses in online terms of service	en
dc.type	Article	en
dc.identifier.doi	10.1007/s10506-019-09243-2
dc.identifier.volume	27	en
dc.identifier.startpage	117	en
dc.identifier.endpage	139	en