Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 527-550 |
| Number of pages | 24 |
| Journal | University of Chicago Law Review |
| Volume | 86 |
| Issue number | 2 |
| State | Published - 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2019 University of Chicago Law School. All rights reserved.