建模预掩体策略，以遏制错误信息的传播

IF 1.4 Q2 MATHEMATICS, APPLIED

Results in Applied Mathematics Pub Date : 2025-05-01 DOI:10.1016/j.rinam.2025.100591

Giorgio Martalò , Marco Menale , Romina Travaglini

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引用次数: 0

摘要

我们提出了第一个模型来描述预掩体策略对错误信息动态的影响。根据经典的流行病学方法，将人群划分为相互作用的功能子系统，代表不同易感水平的个体。子系统之间的转换以固定的概率发生，而预掩体策略被建模为外部行为。导出了简化方程组，并进行了稳定性分析，验证了预加料策略的有效性。数值模拟证实了干预措施在缓解假新闻传播方面的好处，提供了对数字错误信息动态的洞察。

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Modeling prebunking strategies to contain misinformation spread

We propose a first model describing the impact of prebunking strategies on misinformation dynamics. Following a classical epidemiological approach, the population is structured into interacting functional subsystems, representing individuals with different susceptibility levels. Transitions between subsystems occur with fixed probabilities, while the prebunking strategy is modeled as an external action. A reduced system of equations is derived, and the stability analysis is performed to investigate the effectiveness of the prebunking strategy. Numerical simulations confirm the benefits of interventions in mitigating the spread of fake news, providing insights into digital misinformation dynamics.

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来源期刊

Results in Applied Mathematics Mathematics-Applied Mathematics

CiteScore

3.20

自引率

10.00%

发文量

审稿时长

23 days