Big Data and Copyright Law
Research Handbook on Big Data Law 2021(edited by Roland Vogl, Executive Director and Lecturer in Law, CodeX - The Stanford Center for Legal Informatics, Stanford Law School)
28 Pages Posted: 13 Sep 2021
Date Written: August 28, 2021
This chapter seeks to provide a state-of-the-art overview of current research in the field of big data analytics as applied to copyright/fair use on the Internet. It examines the reasons for the limited quantitative empirical analysis in the copyright space, explains why the formalities free principle makes it difficult for such research to be done, and suggests several big data analysis methods to collect and analyze copyright-related datasets.
Keywords: copyright, big data analytics, DMCA, takedown notices, empirical analysis, quantitative legal analytics, statistics, Lumen
Suggested Citation: Suggested Citation