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.

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

Contissa, Giuseppe;Lagioia, Francesca;Sartor, Giovanni;Torroni, Paolo;
2019

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.
Lippi, Marco*; Pałka, Przemysław; Contissa, Giuseppe; Lagioia, Francesca; Micklitz, Hans-Wolfgang; Sartor, Giovanni; Torroni, Paolo
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/681638
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