A synergistic study of policy and literature on rumor governance

Zhao, Jianbo; Liu, Huailiang; Dong, Haiping; Zhang, Weili; Xin, Jige; Zhou, Xuan; Wang, Zhen; Zhang, Xiaojin; Ren, Xinyuan; Zhang, Shanzhuang

doi:10.1016/j.heliyon.2024.e29995

Heliyon

2024

DOI: 10.1016/j.heliyon.2024.e29995

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A synergistic study of policy and literature on rumor governance

Jianbo Zhao,

Huailiang Liu,

Haiping Dong

et al.

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2024

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Cited by 1 publication

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

Jin,

Liu,

Ning

et al. 2024

Mathematics

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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.

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

Jin,

Liu,

Ning

et al. 2024

Mathematics

View full text Add to dashboard Cite

show abstract

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A synergistic study of policy and literature on rumor governance

Cited by 1 publication

References 61 publications

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

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

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