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Evolutionary Game Analysis of UGC Copyright Infringement Governance.

Authors :
Yang, Sen
Tramontana, Fabio
Source :
Discrete Dynamics in Nature & Society. 7/12/2024, Vol. 2024, p1-13. 13p.
Publication Year :
2024

Abstract

This paper presents an evolutionary game model of the "government‐platform‐platform user" based on the assumption of bounded rationality. The model explores the copyright governance mechanism of user‐generated content (UGC) in China by analyzing the strategic interaction between managers and the managed and the influence of various factors. The findings highlight that the government plays a leading role in the governance mechanism of UGC copyright, and the participation of the platform, as the direct manager of information content, can greatly improve the efficiency of supervision. Increasing government penalties, reducing excess revenue from passive platform filtering, and imposing additional payments for users' infringing use can expedite the adoption of evolutionary stability strategies. Furthermore, there exists a practical threshold for government incentives for platforms. Therefore, the construction and optimization of the UGC copyright governance mechanism need to be supported by a dynamic and coordinated reward and punishment system, diversified business objectives, and continuously improving users' copyright awareness. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10260226
Volume :
2024
Database :
Academic Search Index
Journal :
Discrete Dynamics in Nature & Society
Publication Type :
Academic Journal
Accession number :
179671530
Full Text :
https://doi.org/10.1155/2024/1640909