Toward the Personalization of Copyright Law
25 Pages Posted: 2 Mar 2019 Last revised: 15 Mar 2019
Date Written: 2019
In this Article, we provide a blueprint for personalizing copyright law in order to reduce the deadweight loss that stems from its universal application to all users, including those who would not have paid for it. We demonstrate how big data can help identify inframarginal users, who would not pay for copyrighted content, and we explain how copyright liability and remedies should be modified in such cases.
Keywords: personalization of law, big data, copyright, dead weight loss
JEL Classification: D40, D42,D62,K00, K11
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