ORCID
Document Type
Article
Publication Date
2019
Abstract
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
Publication Title
University of Chicago Law Review
Repository Citation
Libson, Adi and Parchomovsky, Gideon, "Toward the Personalization of Copyright Law" (2019). All Faculty Scholarship. 2059.
https://scholarship.law.upenn.edu/faculty_scholarship/2059
Included in
Data Storage Systems Commons, Intellectual Property Law Commons, Law and Economics Commons
Publication Citation
86 U. Chi. L. Rev. 527 (2019)