IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0308317.html
   My bibliography  Save this article

Machine learning and game theory for cyber governance: Enhancing public opinion and regional sustainable development

Author

Listed:
  • Podong Song
  • Wiseong Jin
  • Shaowei Chen
  • Xufang Hu
  • Kwisik Min
  • Shengchao Li
  • Senmong Li

Abstract

Cyberspace is emerging as a critical living environment, significantly influencing sustainable human development. Internet public opinion is a crucial aspect of cyberspace governance, serving as the most important form of expressing popular will. However, perceiving public opinion can be challenging due to its complex and elusive nature. In this paper, we propose a novel framework for perceiving popular will, managing public opinion, and influencing people’s behavior, based on machine learning and game theory approaches. Our framework leverages deep learning techniques to analyze public opinion, active learning methods to reduce costs, and game theory to make optimal management decisions. We verify the effectiveness of our framework using empirical data collected from Chinese provinces Y and G, and provide theoretical support by analyzing the interrelationship between public opinion, online public opinion, and people’s behavior. Our framework can be applied inexpensively to studies in other regions, thereby offering valuable insights into cyberspace governance and public opinion management.

Suggested Citation

  • Podong Song & Wiseong Jin & Shaowei Chen & Xufang Hu & Kwisik Min & Shengchao Li & Senmong Li, 2024. "Machine learning and game theory for cyber governance: Enhancing public opinion and regional sustainable development," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-36, December.
    • Handle: RePEc:plo:pone00:0308317
    DOI: 10.1371/journal.pone.0308317
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0308317
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0308317&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0308317?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. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    2. Gaofeng Guan & Dong Liu & Jiayang Zhai, 2022. "Factors Influencing Consumer Satisfaction of Fresh Produce E-Commerce in the Background of COVID-19—A Hybrid Approach Based on LDA-SEM-XGBoost," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    3. Xiaoxiao Geng & Ling Lv & Yingchen Wang & Ran Sun & Xiangmei Wang, 2022. "Evolutionary Game Research on Green Construction Considering Consumers’ Preference under Government Supervision," IJERPH, MDPI, vol. 19(24), pages 1-27, December.
    4. Na Zhang & Ping Yu & Yupeng Li & Wei Gao, 2022. "Research on the Evolution of Consumers’ Purchase Intention Based on Online Reviews and Opinion Dynamics," Sustainability, MDPI, vol. 14(24), pages 1-26, December.
    5. Coninx, Kristof & Deconinck, Geert & Holvoet, Tom, 2018. "Who gets my flex? An evolutionary game theory analysis of flexibility market dynamics," Applied Energy, Elsevier, vol. 218(C), pages 104-113.
    6. Fei Ding & Yun Liu & Yong Li, 2009. "Co-Evolution Of Opinion And Strategy In Persuasion Dynamics: An Evolutionary Game Theoretical Approach," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 479-490.
    7. Xin Yu & Jinpeng Wang & Yongliang Liu, 2021. "Civic Participation in Chinese Cyberpolitics: A Grounded Theory Approach of Para-Xylene Projects," IJERPH, MDPI, vol. 18(23), pages 1-17, November.
    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. Leng Yi & Fukuda Hiroatsu, 2022. "Incentives for Innovation in Robotics and Automated Construction: Based on a Tripartite Evolutionary Game Analysis," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    2. Dehai Liu & Hongyi Li & Weiguo Wang & Chuang Zhou, 2015. "Scenario forecast model of long term trends in rural labor transfer based on evolutionary games," Journal of Evolutionary Economics, Springer, vol. 25(3), pages 649-670, July.
    3. Liang Liu & Cong Feng & Hongwei Zhang & Xuehua Zhang, 2015. "Game Analysis and Simulation of the River Basin Sustainable Development Strategy Integrating Water Emission Trading," Sustainability, MDPI, vol. 7(5), pages 1-21, April.
    4. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    5. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    6. Wei Wang & Yanbin Li & Jinzhong Li & Yun Li, 2024. "Can pumped-storage power stations stimulate rural revitalization? Evidence from the four-party evolutionary game," Journal of Evolutionary Economics, Springer, vol. 34(3), pages 595-645, July.
    7. Wenke Wang & Xiaoqiong You & Kebei Liu & Yenchun Jim Wu & Daming You, 2020. "Implementation of a Multi-Agent Carbon Emission Reduction Strategy under the Chinese Dual Governance System: An Evolutionary Game Theoretical Approach," IJERPH, MDPI, vol. 17(22), pages 1-21, November.
    8. Yingrui Ma & Chao Wu & Xindong Wei & Weijun Gao & Lei Sun, 2024. "Evolutionary Dynamics of Passive Housing Initiatives in New Rural Construction," Sustainability, MDPI, vol. 16(13), pages 1-20, June.
    9. Faggini, Marisa & Parziale, Anna, 2011. "Fitness landscape and tax planning: NK model for fiscal federalism," MPRA Paper 33770, University Library of Munich, Germany.
    10. Wiseong Jin & Kwisik Min & Xufang Hu & Shengchao Li & Xueqin Wang & Bodong Song & Chengmeng Li, 2024. "Enhancing rural B&B management through machine learning and evolutionary game: A case study of rural revitalization in Yunnan, China," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-54, March.
    11. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2021. "Exploring the dilemma of overcapacity governance in China's coal industry: A tripartite evolutionary game model," Resources Policy, Elsevier, vol. 71(C).
    12. Jin, Jie & Ren, Xinyue & Xi, Xunzhuo & Zhao, Qiuhong, 2025. "Carrot or stick? How to effectively manage non-scale farming waste in rural areas," Socio-Economic Planning Sciences, Elsevier, vol. 99(C).
    13. Manh Hong Duong & Hoang Minh Tran & The Anh Han, 2019. "On the Expected Number of Internal Equilibria in Random Evolutionary Games with Correlated Payoff Matrix," Dynamic Games and Applications, Springer, vol. 9(2), pages 458-485, June.
    14. Yang Tang & Kairong Hong & Yucheng Zou & Yanwei Zhang, 2021. "Equilibrium Resolution Mechanism for Multidimensional Conflicts in Farmland Expropriation Based on a Multistage Van Damme’s Model," Mathematics, MDPI, vol. 9(11), pages 1-25, May.
    15. Dijkstra, Bouwe R. & de Vries, Frans P., 2006. "Location choice by households and polluting firms: An evolutionary approach," European Economic Review, Elsevier, vol. 50(2), pages 425-446, February.
    16. Chao Wang & Zhe Huang & Guiyu Lian, 2023. "Green supply chain decision of discarded drugs recycling: Evolutionary game and strategy simulation," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-23, May.
    17. 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.
    18. Youqing Lv & Guojian Ma & Juan Ding, 2022. "Evolutionary Game Analysis of Medical Waste Disposal in China under Different Reward and Penalty Models," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    19. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    20. Zijia Liu & Guoliang Liu, 2024. "Supply Chain Coordination of New Energy Vehicles under a Novel Shareholding Strategy," Sustainability, MDPI, vol. 16(18), pages 1-33, September.

    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:pone00:0308317. 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.