IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0292571.html
   My bibliography  Save this article

An evolutionary game analysis of algorithmic indirect copyright infringement from the perspective of collusion between UGC platforms and direct infringers

Author

Listed:
  • Jiangang Liu
  • Yuxuan Shen
  • Lanlan Zhou

Abstract

User-generated content (UGC) is developing rapidly as an emerging platform form, however, the problem of indirect copyright infringement by algorithms is becoming more and more prominent, and infringement governance has become a key act in the development of UGC platforms. When infringement occurs, recommendation algorithms expand the scope and results of infringement, while platforms choose to conspire with direct infringers for their own interests, making it difficult for infringed persons to defend their rights. In order to analyse the influence of different factors in the platform ecosystem on the subject’s behavioural strategies, a "platform-infringer" evolutionary game model is constructed, and numerical simulation is used to verify the correctness of the stable results. Based on the simulation results, it is concluded that the factors of uncertain revenue, punishment and reputation loss have important influence on the decision-making behaviour of the subject of infringement governance, and accordingly, the proposed measures on the publishers, platforms and the legal level of the government are conducive to the evolution of the system to the point of positive regulation and stability of rights protection, with a view to promoting the healthier and more stable development of the UGC platforms.

Suggested Citation

  • Jiangang Liu & Yuxuan Shen & Lanlan Zhou, 2024. "An evolutionary game analysis of algorithmic indirect copyright infringement from the perspective of collusion between UGC platforms and direct infringers," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-22, May.
  • Handle: RePEc:plo:pone00:0292571
    DOI: 10.1371/journal.pone.0292571
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0292571
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0292571&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0292571?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yuechao Chao & Gang Wang, 2023. "Analyzing the Effects of Governmental Policy and Solar Power on Facilitating Carbon Neutralization in the Context of Energy Transition: A Four-Party Evolutionary Game Study," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    2. Park, Sangwon, 2020. "Multifaceted trust in tourism service robots," Annals of Tourism Research, Elsevier, vol. 81(C).
    3. Argenton, Cedric & Wang, Xiaoyu, 2020. "Litigation and Settlement under Loss Aversion," Other publications TiSEM b6c48abc-9b47-4c3b-848b-3, Tilburg University, School of Economics and Management.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhong, Lina & Verma, Rohit & Wei, Wenqi & Morrsion, Alastair M. & Yang, Liyu, 2022. "Multi-stakeholder perspectives on the impacts of service robots in urban hotel rooms," Technology in Society, Elsevier, vol. 68(C).
    2. Hongliang Fu & Linye Fu & Haoyu Xie & Xuyi Tian, 2024. "How to use BAPV to alleviate the urban heat island effect: An evolutionary game perspective," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-15, January.
    3. Liu, Yuqing & Schuberth, Florian & Liu, Yide & Henseler, Jörg, 2022. "Modeling and assessing forged concepts in tourism and hospitality using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 152(C), pages 221-230.
    4. Huang, Yung-Chuan, 2023. "Integrated concepts of the UTAUT and TPB in virtual reality behavioral intention," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    5. Francesc Fusté-Forné & Tazim Jamal, 2021. "Co-Creating New Directions for Service Robots in Hospitality and Tourism," Tourism and Hospitality, MDPI, vol. 2(1), pages 1-19, January.
    6. Liu, Xing (Stella) & Yi, Xiao (Shannon) & Wan, Lisa C., 2022. "Friendly or competent? The effects of perception of robot appearance and service context on usage intention," Annals of Tourism Research, Elsevier, vol. 92(C).
    7. Tung, Vincent Wing Sun & Tse, Serene, 2022. "Residents' intolerance in host-guest relation," Annals of Tourism Research, Elsevier, vol. 92(C).
    8. Liao, Zhixue & Zheng, Weimin & Lin, Zhibin, 2022. "Time apart while together: A smart trip design for group travelers," Annals of Tourism Research, Elsevier, vol. 93(C).
    9. Michael Xanthakis & Androniki Simatou & Nikos Antonopoulos & Andreas Kanavos & Naoum Mylonas, 2024. "Alternative Forms of Tourism: A Comparative Study of Website Effectiveness in Promoting UNESCO Global Geoparks and International Dark Sky Parks," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    10. Arpan Kumar Kar & Shweta Kumari Choudhary & P. Vigneswara Ilavarasan, 2023. "How can we improve tourism service experiences: insights from multi-stakeholders’ interaction," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 50(1), pages 73-89, March.
    11. Lv, Xingyang & Liu, Yue & Luo, Jingjing & Liu, Yuqing & Li, Chunxiao, 2021. "Does a cute artificial intelligence assistant soften the blow? The impact of cuteness on customer tolerance of assistant service failure," Annals of Tourism Research, Elsevier, vol. 87(C).
    12. Zhang, Xi & Zhu, Qingyuan & Li, Xingchen & Pan, Yinghao, 2023. "The impact of government subsidy on photovoltaic enterprises independent innovation based on the evolutionary game theory," Energy, Elsevier, vol. 285(C).
    13. Daniel Belanche & Luis V. Casaló & Carlos Flavián, 2021. "Frontline robots in tourism and hospitality: service enhancement or cost reduction?," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 477-492, September.
    14. Chong Li & Yingqi Li, 2023. "Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-37, February.
    15. Ieva Meidute-Kavaliauskiene & Bülent Yıldız & Şemsettin Çiğdem & Renata Činčikaitė, 2021. "The Effect of COVID-19 on Airline Transportation Services: A Study on Service Robot Usage Intention," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    16. van Esch, Patrick & Cui, Yuanyuan (Gina) & Das, Gopal & Jain, Shailendra Pratap & Wirtz, Jochen, 2022. "Tourists and AI: A political ideology perspective," Annals of Tourism Research, Elsevier, vol. 97(C).
    17. Hylton, Keith N., 2023. "Mutual optimism and risk preferences in litigation," International Review of Law and Economics, Elsevier, vol. 75(C).
    18. Ieva Meidute-Kavaliauskiene & Şemsettin Çiğdem & Bülent Yıldız & Sigitas Davidavicius, 2021. "The Effect of Perceptions on Service Robot Usage Intention: A Survey Study in the Service Sector," Sustainability, MDPI, vol. 13(17), pages 1-18, August.
    19. Chih-Hsing Liu & Quoc Phong La & Yen-Ling Ng & Rullyana Puspitaningrum Mamengko, 2023. "Discovering the Sustainable Innovation Service Process of Organizational Environment, Information Sharing and Satisfaction: The Moderating Roles of Pressure," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    20. Vishwakarma, Laxmi Pandit & Singh, Rajesh Kr & Mishra, Ruchi & Demirkol, Denizhan & Daim, Tugrul, 2024. "The adoption of social robots in service operations: A comprehensive review," Technology in Society, Elsevier, vol. 76(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0292571. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.