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An empirical study on the use of automated anti-piracy systems and the consequences for cultural diversity

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Abstract

EU policy makers are currently debating a copyright reform which aims at providing an ecosystem combating online infringements effectively through the use of algorithms while fostering, amongst others, cultural diversity. As the goals set by the EU Commission for the Digital Single Market Strategy will only be met if cultural diversity is adequately preserved and promoted, it is important to analyse how algorithms as copyright enforcement mechanisms operate. This article provides an empirical analytical framework on how cultural diversity can be measured in this context of a copyright reform suited for the digital environment.

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Original languageEnglish
Pages (from-to)277-312
JournalSCRIPTed
Volume15
Issue number2
DOIs
Publication statusPublished - 29 Oct 2018
Peer-reviewedYes

Bibliographic note

Cite as: Sabine Jacques, Krzysztof Garstka, Morten Hviid, and John Street, "An Empirical Study of the Use of Automated Anti-Piracy Systems and Their Consequences for Cultural Diversity", (2018) 15:2 SCRIPTed 277 https://script-ed.org/?p=3526 DOI: 10.2966/scrip.150218.277

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