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Fighting fake news in the age of generative AI: Strategic insights from multi-stakeholder interactions

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  • Ma, Rui
  • Wang, Xueqing
  • Yang, Guo-Rui

Abstract

The advancements in algorithm technology have led to a proliferation of artificial intelligence-generated fake news, resulting in significant social harm. Promoting multi-stakeholder engagement in fake news governance is beneficial for establishing a robust information ecosystem. The primary stakeholders, including the government at the policy-making end, user-generated content platforms at the algorithm development end, and opinion leaders at the news dissemination end, possess varying degrees of initiative and roles in governance. The main objective of this study is to investigate the evolutionary process of behaviors among multi-stakeholders in fake news governance and their influencing factors under different news environments. This study constructs an evolutionary game model to identify the conditions for the realization of five models of fake news governance. Stakeholders' behaviors in different states are affected by external factors, such as news environment, penalties, and incentives, as well as internal factors, such as governance capability deficiencies and platform algorithm reliability. The research findings expand the boundary of adaptive governance theory by revealing the mechanisms of stakeholder collaboration and the interaction between stakeholders and the news environment in fake news governance. These insights offer valuable guidance for advancing the transformation and enhancement of fake news governance models.

Suggested Citation

  • Ma, Rui & Wang, Xueqing & Yang, Guo-Rui, 2025. "Fighting fake news in the age of generative AI: Strategic insights from multi-stakeholder interactions," Technological Forecasting and Social Change, Elsevier, vol. 216(C).
  • Handle: RePEc:eee:tefoso:v:216:y:2025:i:c:s0040162525001568
    DOI: 10.1016/j.techfore.2025.124125
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    References listed on IDEAS

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    1. Sanjay Jain & Kun Qian, 2021. "Compensating Online Content Producers: A Theoretical Analysis," Management Science, INFORMS, vol. 67(11), pages 7075-7090, November.
    2. Agarwal, Puneet & Aziz, Ridwan Al & Zhuang, Jun, 2022. "Interplay of rumor propagation and clarification on social media during crisis events - A game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 298(2), pages 714-733.
    3. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, December.
    4. Apuke, Oberiri Destiny & Omar, Bahiyah, 2021. "The ethical challenges and issues of online journalism practice in Nigeria: What do professionals and academics think?," Technology in Society, Elsevier, vol. 67(C).
    5. Yi Liu & Pinar Yildirim & Z. John Zhang, 2022. "Implications of Revenue Models and Technology for Content Moderation Strategies," Marketing Science, INFORMS, vol. 41(4), pages 831-847, July.
    6. Zhao, Liang & Sun, Zhe & Chen, Si & Gugnani, Ritika & Sahore, Nidhi, 2024. "Social media opinion leaders and information diffusion of crowdfunding projects: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    7. Dietram A. Scheufele & Nicole M. Krause, 2019. "Science audiences, misinformation, and fake news," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(16), pages 7662-7669, April.
    8. Broockman, David E. & Skovron, Christopher, 2018. "Bias in Perceptions of Public Opinion among Political Elites," American Political Science Review, Cambridge University Press, vol. 112(3), pages 542-563, August.
    9. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    10. repec:fth:iniesr:487 is not listed on IDEAS
    11. repec:hhs:iuiwop:487 is not listed on IDEAS
    12. Kreps, Sarah & McCain, R. Miles & Brundage, Miles, 2022. "All the News That’s Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation," Journal of Experimental Political Science, Cambridge University Press, vol. 9(1), pages 104-117, March.
    13. Mahmud, Hasan & Islam, A.K.M. Najmul & Mitra, Ranjan Kumar, 2023. "What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    14. Yiangos Papanastasiou, 2020. "Fake News Propagation and Detection: A Sequential Model," Management Science, INFORMS, vol. 66(5), pages 1826-1846, May.
    15. Isabella M. Nolte & Jörg Lindenmeier, 2024. "Creeping crises and public administration: a time for adaptive governance strategies and cross-sectoral collaboration?," Public Management Review, Taylor & Francis Journals, vol. 26(11), pages 3104-3125, November.
    16. Yuan, Ning & Li, Meijuan, 2024. "Research on collaborative innovation behavior of enterprise innovation ecosystem under evolutionary game," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    17. Jasper Eshuis & Lasse Gerrits, 2021. "The limited transformational power of adaptive governance: a study of institutionalization and materialization of adaptive governance," Public Management Review, Taylor & Francis Journals, vol. 23(2), pages 276-296, February.
    Full references (including those not matched with items on IDEAS)

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