A coupled model for government communication and rumor spreading in emergencies

Xu, Jiuping; Zhang, Mengxiang; Ni, Jingneng

doi:10.1186/s13662-016-0932-1

Cited by 24 publications

(15 citation statements)

References 13 publications

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“…Therefore, to solve this, different types of methods are employed. One method is to block rumors [35]- [37], and another method is used to spread anti-rumors to diminish the effect of rumors [8], [38], but this is a grueling affair. The blocking of rumor may create a reverse effect, as it makes the people more anxious to know more about it.…”

Section: Related Workmentioning

confidence: 99%

Defensive Modeling of Fake News Through Online Social Networks

Shrivastava

Kumar

Ojha

et al. 2020

IEEE Trans. Comput. Soc. Syst.

118

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Online social networks (OSNs) have become an integral mode of communication among people and even nonhuman scenarios can also be integrated into OSNs. The evergrowing rise in the popularity of OSNs can be attributed to the rapid growth of Internet technology. OSN becomes the easiest way to broadcast media (news/content) over the Internet. In the wake of emerging technologies, there is dire need to develop methodologies, which can minimize the spread of fake messages or rumors that can harm society in any manner. In this article, a model is proposed to investigate the propagation of such messages currently coined as fake news. The proposed model describes how misinformation gets disseminated among groups with the influence of different misinformation refuting measures. With the onset of the novel coronavirus-19 pandemic, dubbed COVID-19, the propagation of fake news related to the pandemic is higher than ever. In this article, we aim to develop a model that will be able to detect and eliminate fake news from OSNs and help ease some OSN users stress regarding the pandemic. A system of differential equations is used to formulate the model. Its stability and equilibrium are also thoroughly analyzed. The basic reproduction number (R 0) is obtained which is a significant parameter for the analysis of message spreading in the OSNs. If the value of R 0 is less than one (R 0 < 1), then fake message spreading in the online network will not be prominent, otherwise if R 0 > 1 the rumor will persist in the OSN. Realworld trends of misinformation spreading in OSNs are discussed. In addition, the model discusses the controlling mechanism for untrusted message propagation. The proposed model has also been validated through extensive simulation and experimentation.

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Section: Related Workmentioning

confidence: 99%

Defensive Modeling of Fake News Through Online Social Networks

Shrivastava

Kumar

Ojha

et al. 2020

IEEE Trans. Comput. Soc. Syst.

118

View full text Add to dashboard Cite

show abstract

“…Second, the optimal dynamic control problem should be investigated under sophisticated epidemic models such as the impulsive epidemic models [51,52], the stochastic epidemic models [53][54][55], and the epidemic models on time-varying networks [56][57][58]. Last, it is rewarding to apply the methodology developed in this paper to the optimal dynamic control of rumor spreading [59][60][61].…”

Section: Conclusion and Remarksmentioning

confidence: 99%

On the Optimal Dynamic Control Strategy of Disruptive Computer Virus

Yang

et al. 2017

Discrete Dynamics in Nature and Society

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Disruptive computer viruses have inflicted huge economic losses. This paper addresses the development of a cost-effective dynamic control strategy of disruptive viruses. First, the development problem is modeled as an optimal control problem. Second, a criterion for the existence of an optimal control is given. Third, the optimality system is derived. Next, some examples of the optimal dynamic control strategy are presented. Finally, the performance of actual dynamic control strategies is evaluated.

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“…The interaction mechanism between government media can effectively prevent the deterioration of emergency and make rumors play a positive role in the evolution of an emergency [17]. The coupling of official government communication and rumor spreading provides a rational way for limiting the spread of rumors after emergency [18]. The government will adjust the emergency strategies in real time according to the actual situation, issuing public official information about emergency events or refute specific rumors.…”

Section: Introductionmentioning

confidence: 99%

An interplay model for official information and rumor spreading with impulsive effects

Huo

Xiao

2019

Adv Differ Equ

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When an emergency event occurs, it inevitably causes some rumors, and the government always issues some official information to control rumors; then the rumors and official information can interact with each other. In this paper, an interplay model between official information and rumor spreading with impulsive effects is proposed to simulate the government strategies in emergency management. By using Floquet theory and comparing methods involving multiple Lyapunov functions, the thresholds for rumor eradication and system permanence are obtained. The influence of the analytical threshold on the stability of a system is verified in a numerical simulation. Finally, some suggestions are provided for the government to eliminate losses causing rumor effect in emergencies.

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A coupled model for government communication and rumor spreading in emergencies

Cited by 24 publications

References 13 publications

Defensive Modeling of Fake News Through Online Social Networks

Defensive Modeling of Fake News Through Online Social Networks

On the Optimal Dynamic Control Strategy of Disruptive Computer Virus

An interplay model for official information and rumor spreading with impulsive effects

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