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A Mathematical Optimization Model Designed to Determine the Optimal Timing of Online Rumor Intervention Based on Uncertainty Theory

Author

Listed:
  • Meiling Jin

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Fengming Liu

    (Business School, Shandong Normal University, Jinan 250014, China)

  • Yufu Ning

    (School of Information Engineering, Shandong Youth University of Political Science, Jinan 250103, China
    Smart Healthcare Big Data Engineering and Ubiquitous Computing Characteristic Laboratory in Universities of Shandong, Jinan 250103, China)

  • Yichang Gao

    (Artificial Intelligence and Cyber Futures Institute, Charles Sturt University, Bathurst, NSW 2795, Australia)

  • Dongmei Li

    (School of Management, Shanghai University, Shanghai 200444, China
    School of Economics and Management, Shanghai Zhongqiao Vocational and Technical University, Shanghai 201514, China)

Abstract

The multifaceted nature of online rumors poses challenges to their identification and control. Current approaches to online rumor governance are evolving from fragmented management to collaborative efforts, emphasizing the proactive management of rumor propagation processes. This transformation considers diverse rumor types, the response behaviors of self-media and netizens, and the capabilities of regulatory bodies. This study proposes a multi-agent intervention model rooted in uncertainty theory to mitigate online rumor dissemination. Its empirical validation includes comparing three rumor categories and testing it against a single-agent model, highlighting the efficacy of collaborative governance. Quantitative assessments underscore the model’s utility in providing regulatory authorities with a robust theoretical framework for adaptive decision-making and strategy adjustments based on real-world conditions.

Suggested Citation

  • Meiling Jin & Fengming Liu & Yufu Ning & Yichang Gao & Dongmei Li, 2024. "A Mathematical Optimization Model Designed to Determine the Optimal Timing of Online Rumor Intervention Based on Uncertainty Theory," Mathematics, MDPI, vol. 12(16), pages 1-21, August.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:16:p:2457-:d:1452601
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    References listed on IDEAS

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