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

See all articles by Daniel Kiat Boon Seng

Daniel Kiat Boon Seng

Director, Centre for Technology, Robotics, AI and the Law, Faculty of Law, National University of Singapore

Date Written: August 28, 2021

Abstract

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

Seng, Daniel Kiat Boon, Big Data and Copyright Law (August 28, 2021). 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), Available at SSRN: https://ssrn.com/abstract=3913015 or http://dx.doi.org/10.2139/ssrn.3913015

Daniel Kiat Boon Seng (Contact Author)

Director, Centre for Technology, Robotics, AI and the Law, Faculty of Law, National University of Singapore ( email )

469G Bukit Timah Road
Eu Tong Sen Building
Singapore, 259776
Singapore

HOME PAGE: http://https://law.nus.edu.sg/trail/

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