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

Jacques, Sabine ORCID: https://orcid.org/0000-0001-7708-4407, Garstka, Krzysztof, Hviid, Morten and Street, John ORCID: https://orcid.org/0000-0001-9650-063X (2018) An empirical study on the use of automated anti-piracy systems and the consequences for cultural diversity. SCRIPTed, 15 (2). pp. 277-312. ISSN 1744-2567

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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.

Item Type:	Article
Additional Information:	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
Faculty \ School:	Faculty of Social Sciences > School of Law Faculty of Arts and Humanities > School of Politics, Philosophy, Language and Communication Studies
UEA Research Groups:	Faculty of Social Sciences > Research Centres > Centre for Competition Policy Faculty of Arts and Humanities > Research Groups > Political, Social and International Studies Faculty of Arts and Humanities > Research Groups > Cultural Politics, Communications & Media Faculty of Arts and Humanities > Research Groups > Policy & Politics Faculty of Social Sciences > Research Groups > Competition, Markets and Regulation Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Social Sciences > Research Groups > Media, Information Technology and Intellectual Property Law
Related URLs:	https://script-ed.org/article/an-empiric...
Depositing User:	Pure Connector
Date Deposited:	23 Feb 2018 17:30
Last Modified:	21 Jul 2023 09:48
URI:	https://ueaeprints.uea.ac.uk/id/eprint/66353
DOI:	10.2966/scrip.150218.277

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