Research Article
Open access
Published on 9 December 2024
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Xiao,C. (2024). Research on Copyright Infringement Issues in Short Video Platforms in the Context of Algorithmic Recommendation. Advances in Social Behavior Research,13,40-43.
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Research on Copyright Infringement Issues in Short Video Platforms in the Context of Algorithmic Recommendation

Caixing Xiao *,1,
  • 1 Yunnan Minzu University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-7102/2024.18248

Abstract

Short video platforms face increasingly severe copyright infringement issues in the context of algorithmic recommendations. With the widespread application of algorithmic recommendation technology, platforms have gradually evolved from passive neutral intermediaries to active content managers, thereby intensifying the complexity of liability for infringements. Algorithmic recommendations are based on user behavior data and prioritize content with high engagement, often including unauthorized works, which leads to the spread of infringing content. This “pseudo-neutrality” strengthens the platform’s dominant role in content dissemination, making the traditional “safe harbor” principle difficult to apply. By analyzing relevant legal practices, this paper proposes improvements to the platform responsibility identification mechanism and suggestions for enhancing content review and compliance systems, in order to ensure that platforms, while enhancing user experience, effectively fulfill their copyright protection obligations.

Keywords

algorithmic recommendation, short video platforms, copyright infringement

[1]. Xian, C. M. (2024). Disputes and Optimization of Judicial Determination of Copyright Obligations on Short Video Platforms under Algorithmic Recommendation. Journal of Southeast University (Philosophy and Social Sciences Edition), 26(S1).

[2]. Liu, K. Y. (2024). Identification of Copyright Infringement on Short Video Platforms under Algorithmic Recommendation Technology. Science and Technology Entrepreneurship Monthly, 37(02), 166-170.

[3]. Zhou, S. H. (2023). A Study on the Determination of the Duty of Care of Short Video Platforms in the ‘First Algorithmic Recommendation Case’. Journalists, (04), 64-72.

[4]. Li, M. H., Zhao, X. J., Yu, Y. F., et al. (2022). Survey on Research Progress of Recommendation Algorithms. Journal of Chinese Computer Systems, 3.

[5]. Yu, M., He, W. T., Zhou, X. C., et al. (2022). Review of recommendation system. Journal of Computer Applications, 42(6).

[6]. Article 36 of the Tort Liability Law of the People's Republic of China.

[7]. Alexis Hunley, et al. v. Instagram, LLC, No.22-15293 (9th Cir. 2023)

[8]. See (2019) Jing 0108 Minchu No. 50456.

[9]. Jiao, Y. F. (2023). Research on the Determination of Copyright Infringement Liability of Online Platforms under the Algorithmic Recommendation Model. Science and Technology and Innovation, (S1).

[10]. Shanghai Intellectual Property Court Research Group. (2024). The Duty of Care of Algorithmic Recommendation Service Providers. Application of Law, (07), 24-36.

Cite this article

Xiao,C. (2024). Research on Copyright Infringement Issues in Short Video Platforms in the Context of Algorithmic Recommendation. Advances in Social Behavior Research,13,40-43.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal:Advances in Social Behavior Research

Volume number: Vol.13
ISSN:2753-7102(Print) / 2753-7110(Online)

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