JOURNAL ARTICLE

Parody Principle and Concept of Independent Work in Copyright Law.

  • Published In: GRUR International: Journal of European & International IP Law, 2024, v. 73, n. 1. P. 69 1 of 2

  • Database: Legal Source 2 of 2

Abstract

This document provides an overview of the parody principle and independent work in Danish copyright law. It explains that parodies meeting the originality requirement are considered independent works and are not protected by copyright. Parodies may also be exceptions to copyright protection under Danish law. The document also discusses the balance between freedom of expression and copyright considerations under the European Convention on Human Rights. It concludes by examining the use of The Little Mermaid as a symbol of Denmark in editorial media and the potential consequences of limiting parody and satire. The article also discusses a legal case involving copyright infringement and the parody principle in Danish copyright law. The Supreme Court determines that a drawing and photograph published in a newspaper do not infringe the copyright of The Little Mermaid. The court considers the drawing a parody and an independent work, protected by copyright law. The photograph is also protected under freedom of expression as part of a newspaper article on a topic of societal interest. The court finds no violation of copyright or the Danish Marketing Practices Act. [Extracted from the article]

Additional Information

  • Source:GRUR International: Journal of European & International IP Law. 2024/01, Vol. 73, Issue 1, p69
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2024
  • ISSN:26328550
  • DOI:10.1093/grurint/ikad118
  • Accession Number:174784106
  • Copyright Statement:Copyright of GRUR International: Journal of European & International IP Law is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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