Date: 2021
Type: Contribution to book
Big data analytics, online terms of service and privacy policies
Roland VOGL (ed.), Research handbook on big data law, Edward Elgar Publishing, 2020, pp. 115-134
PALKA, Przemyslaw, LIPPI, Marco, Big data analytics, online terms of service and privacy policies, in Roland VOGL (ed.), Research handbook on big data law, Edward Elgar Publishing, 2020, pp. 115-134
- https://hdl.handle.net/1814/71596
Retrieved from Cadmus, EUI Research Repository
In 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.
Cadmus permanent link: https://hdl.handle.net/1814/71596
Full-text via DOI: 10.4337/9781788972826.00011
ISBN: 9781788972819
Publisher: Edward Elgar Publishing
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