The University of Southampton
University of Southampton Institutional Repository

A content-linking-context model and automatic copyright verification in the notice-and-take-down procedures

A content-linking-context model and automatic copyright verification in the notice-and-take-down procedures
A content-linking-context model and automatic copyright verification in the notice-and-take-down procedures
The US Digital Millennium Copyright Act (DMCA) of 1998 adopted a notice-and-take-down procedure to help tackle alleged online infringements through online service providers’ actions. European Directive 2000/31/EC (e-Commerce Directive) introduced a set of liability exemptions similar to the one found in the DMCA, but did not specify any take-down procedure. Many intermediary (hosts and online search engines) service providers, even in Europe, have followed this notice-and-take-down procedure to enable copyright owners to issue notices to take down allegedly infringing Web resources. However, the accuracy of take-down is not known, and notice receivers do not reveal clear information about how they check the legitimacy of these requests, whether and how they verify the lawfulness of allegedly infringing content, and what criteria they use for these actions. Google’s Transparency Report is used as the benchmark to investigate the information content of take-down notices and to assess the accuracy of the resulting take-downs of allegedly infringing Web resources. Based on the investigation, a Content-Linking-Context (CLC) Model which identified the criteria to be considered by intermediary service providers to achieve more accurate take-down is proposed. The technical issues by applying the CLC Model to an automation system to automatically assess Web resources and produce a series of analytic results and, eventually, a ‘likelihood of infringement’ score are investigated. The CLC Model is validated by experienced copyright experts, all of whom have a good level of agreement regarding the usage of the criterion and the infringement score generated in the CLC Model. The automation system is evaluated by users and the results confirm that, for specific types of Web resources, the system helps to bring users’ decisions closer to those of the experts.
University of Southampton
Zhang, Pei
a881c1a8-503d-4429-be9b-6895a69be4f0
Zhang, Pei
a881c1a8-503d-4429-be9b-6895a69be4f0
Gilbert, Lester
a593729a-9941-4b0a-bb10-1be61673b741

Zhang, Pei (2017) A content-linking-context model and automatic copyright verification in the notice-and-take-down procedures. University of Southampton, Doctoral Thesis, 136pp.

Record type: Thesis (Doctoral)

Abstract

The US Digital Millennium Copyright Act (DMCA) of 1998 adopted a notice-and-take-down procedure to help tackle alleged online infringements through online service providers’ actions. European Directive 2000/31/EC (e-Commerce Directive) introduced a set of liability exemptions similar to the one found in the DMCA, but did not specify any take-down procedure. Many intermediary (hosts and online search engines) service providers, even in Europe, have followed this notice-and-take-down procedure to enable copyright owners to issue notices to take down allegedly infringing Web resources. However, the accuracy of take-down is not known, and notice receivers do not reveal clear information about how they check the legitimacy of these requests, whether and how they verify the lawfulness of allegedly infringing content, and what criteria they use for these actions. Google’s Transparency Report is used as the benchmark to investigate the information content of take-down notices and to assess the accuracy of the resulting take-downs of allegedly infringing Web resources. Based on the investigation, a Content-Linking-Context (CLC) Model which identified the criteria to be considered by intermediary service providers to achieve more accurate take-down is proposed. The technical issues by applying the CLC Model to an automation system to automatically assess Web resources and produce a series of analytic results and, eventually, a ‘likelihood of infringement’ score are investigated. The CLC Model is validated by experienced copyright experts, all of whom have a good level of agreement regarding the usage of the criterion and the infringement score generated in the CLC Model. The automation system is evaluated by users and the results confirm that, for specific types of Web resources, the system helps to bring users’ decisions closer to those of the experts.

Text
final thesis - Version of Record
Available under License University of Southampton Thesis Licence.
Download (4MB)

More information

Published date: November 2017

Identifiers

Local EPrints ID: 416475
URI: http://eprints.soton.ac.uk/id/eprint/416475
PURE UUID: 667e1e2a-5ffd-4793-a709-6e69892a6ac6

Catalogue record

Date deposited: 20 Dec 2017 17:30
Last modified: 29 Jan 2020 17:37

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×