An Empirical Study of the Use of Automated Anti-Piracy Systems and Their Consequences for CulturalDiversity
Authors
* Krzysztof Garstka Sabine Jacques
*Lecturer, School of Law and Centre for Competition Policy, University ofEast Anglia, Norwich, United Kingdom, sabine.jacques@uea.ac.uk
** Research Associate, School of Law and Centre for Intellectual Propertyand Information Law, University of Cambridge, Cambridge, UnitedKingdom, kkg22@cam.ac.uk
*** Director, Centre for Competition Policy and Professor, School of Law,University of East Anglia, Norwich, United Kingdom, m.hviid@uea.ac.uk
**** Professor, School of Politics, Philosophy, Language andCommunication Studies and Centre for Competition Policy, University ofEast Anglia, Norwich, United Kingdom, j.street@uea.ac.uk
EU policy makers are currently debating copyright reforms which aim to provide an ecosystem for the effective combatting of online infringements through the use of algorithms while fostering, amongst other things, 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 operate as copyright enforcement mechanisms. This article provides an empirical analytical framework on how cultural diversity can be measured in the context of copyright reform suited for the digital environment.
