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dc.contributor.authorPALKA, Przemyslaw
dc.contributor.authorLIPPI, Marco
dc.date.accessioned2021-06-08T10:17:15Z
dc.date.available2021-06-08T10:17:15Z
dc.date.issued2021
dc.identifier.citationRoland VOGL (ed.), Research handbook on big data law, Edward Elgar Publishing Ltd., 2020, pp. 115-134en
dc.identifier.isbn9781788972819
dc.identifier.urihttps://hdl.handle.net/1814/71596
dc.description.abstractIn the digital era, consumers continuously use online services and apps for their daily activities. Too often, they do so without having a clear idea about what exactly they have agreed to or how their data is being used by the online platforms and service providers. This is because online terms of use and privacy policies are typically complex documents that are hard for the average citizen to decipher. In a sense, these terms of use and privacy policies are becoming “big data” collections themselves, representing an opportunity for new approaches in artificial intelligence and machine learning. For example, machine learning and artificial intelligence could be used to detect, extract, and categorize relevant information from the terms of use and privacy policies. In this chapter, we survey the research that addresses the recent efforts made to empower consumers via technologies that provide for the automated analysis of terms of service and privacy policies.en
dc.language.isoenen
dc.publisherEdward Elgaren
dc.titleBig data analytics, online terms of service and privacy policiesen
dc.typeContribution to booken
dc.identifier.doi10.4337/9781788972826.00011


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