Toward the Personalization of Copyright Law
In this Essay, 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 fo...
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Veröffentlicht in: | The University of Chicago law review 2019-04, Vol.86 (2), p.527-550 |
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description | In this Essay, 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. |
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source | Business Source Complete; JSTOR Archive Collection A-Z Listing; EZB-FREE-00999 freely available EZB journals |
subjects | Big Data Copyright Law Liability (Law) Remedies (Law) U.S. states |
title | Toward the Personalization of Copyright Law |
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