Rumor spreading model considering the proportion of wisemen in the crowd

Hu, Yuhan; Pan, Qiuhui; Hou, Wenbing; He, Mingfeng

doi:10.1016/j.physa.2018.04.056

Cited by 42 publications

(17 citation statements)

References 21 publications

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“…Existing literature has proposed some effective measures to restrict the negative effects of health rumors, including strengthening the relevant law enforcement, spreading truthful information to balance the rumors, and enhancing the public′s ability to identify the authenticity of all kinds of information [ 6 ]. Researchers, importantly, have found that if more people can identify rumors, the spread of rumors in the social network would be contained [ 7 ]. Therefore, researchers have shown interest in the role of literacy in rumor-belief [ 8 , 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Does Science Literacy Guarantee Resistance to Health Rumors? The Moderating Effect of Self-Efficacy of Science Literacy in the Relationship between Science Literacy and Rumor Belief

Chen

Xiong

et al. 2021

IJERPH

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Health rumors not only incite unnecessary fears and skepticism, but may also cause individuals to refuse effective remedy and thus delay their treatment. Studies have found that health literacy may help the public identify the falsity of health rumors and avoid their negative impact. However, whether other types of literacy work in helping people disbelieve health rumors is still unknown. With a national survey in China (N = 1646), our study examined the effect of science literacy on rumor belief and further analyzed the moderating role of self-efficacy of science literacy in their relationship. Hierarchical regression analysis showed that science literacy significantly decreased the likelihood of people believing in health rumors, and moderator analysis showed that self-efficacy of science literacy plays a moderating role in this relationship; such that the relationship between science literacy and health rumor belief would be weakened if one′s self-efficacy of science literacy was low. This finding reveals that during campaigns to combat health rumors, improving and enhancing the self-efficacy of people′s science literacy is an effective way to prevent them from believing in health rumors. Our study highlights the benefits of science education in public health and the improvement of public science literacy.

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Section: Introductionmentioning

confidence: 99%

Does Science Literacy Guarantee Resistance to Health Rumors? The Moderating Effect of Self-Efficacy of Science Literacy in the Relationship between Science Literacy and Rumor Belief

Chen

Xiong

et al. 2021

IJERPH

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“…In the process of rumor dissemination, people with high scientific knowledge levels seldom disseminate rumors actively; in contrast, people with low scientific knowledge levels may take the initiative to accept and disseminate rumors due to a lack of relevant knowledge ( Huo & Huang, 2014 ). Even to some extent, a lack of scientific knowledge is the internal driving factor for netizens to disseminate online rumors ( Hu et al., 2018 ). Some scientists have found that after the publicity and popularization of scientific knowledge, the probability of online rumors disseminating can be effectively reduced so that the dissemination of online rumors can be quickly controlled ( Kinoshita et al., 2011 ; Wang, 2011 ).…”

Section: Literature Reviewmentioning

confidence: 99%

A rumor reversal model of online health information during the Covid-19 epidemic

Wang

et al. 2021

Information Processing & Management

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The development of the Internet and social media has expanded the speed and scope of information dissemination, but not all widely disseminated information is true. Especially during the public health emergencies, the endogenous health information demand generated by the lack of scientific knowledge of health information among online users stimulates the dissemination of health information by mass media while providing opportunities for rumor mongers to publish and spread online rumors. Invalid scientific knowledge and rumors will have a serious negative impact and disrupt social order during epidemic outbreaks such as COVID-19. Therefore, it is extremely important to construct an effective online rumor reversal model. The purpose of this study is to build an online rumor reversal model to control the spread of online rumors and reduce their negative impact. From the perspective of internal and external factors, based on the SIR model, this study constructed a G-SCNDR online rumor reversal model by adopting scientific knowledge level theory and an external online rumor control strategy. In this study, the G-SCNDR model is simulated, and a sensitivity analysis of the important parameters of the model is performed. The reversal efficiency of the G-SCNDR model can be improved by properly adopting the isolation-conversion strategy as the external control approach to online rumors with improving the popularization rate of the level of users' scientific knowledge and accelerating the transformation efficiency of official nodes. This study can help provide a better understanding of the process of online rumor spreading and reversing, as well as offering ceritain guidance and countermeasures for online rumor control during public health emergencies.

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“…k P(k ) k (19) where P(k) is degree distribution function of the network. Since in the initial condition S k (0) = 1, the Eq.…”

Section: P(k |K) =mentioning

confidence: 99%

“…Huo et al researched the rumor dynamic process with the prevalence of media and analyzed the impact of awareness programs by media report [17], [18]. By considering the effect of the government punishment in the rumor spreading process, Li and Ma established a novel mode to describe [19]. In consideration of the proverb, ''rumors end with the wise'', Hu et al established a rumor transmission model considering the proportion of wisemen in the crows [20].…”

Section: Introductionmentioning

confidence: 99%

Dynamical Analysis of Rumor Spreading Model With Incubation Mechanism and Activity of Nodes

et al. 2019

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In this paper, incubation mechanism and activity of nodes are introduced to study the dynamics mechanism of rumor spreading in complex network. It is assumed that when the susceptible interacts with the rumor believers, the susceptible need time to think about the rumor before they believe it. The susceptible individual will first go through a incubation period after being infected before becoming believer or stifler. The nodes have active and the inactive states, it can convert each other with a certain probability, the active nodes can interact with others which directs linking, and the inactive nodes just response the active neighbors. The dynamic rumor spreading model was built by mean-field equations in heterogeneous network, and then the numerical simulations were proposed which reveals that the joint efforts of activity rate and spreading rate have negative effects on final rumor spreading size, and the simulations results also confirm the theoretical analysis in the modified model. INDEX TERMS Rumor spreading, incubation mechanism, activity of nodes, heterogeneous networks.

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Rumor spreading model considering the proportion of wisemen in the crowd

Cited by 42 publications

References 21 publications

Does Science Literacy Guarantee Resistance to Health Rumors? The Moderating Effect of Self-Efficacy of Science Literacy in the Relationship between Science Literacy and Rumor Belief

Does Science Literacy Guarantee Resistance to Health Rumors? The Moderating Effect of Self-Efficacy of Science Literacy in the Relationship between Science Literacy and Rumor Belief

A rumor reversal model of online health information during the Covid-19 epidemic

Dynamical Analysis of Rumor Spreading Model With Incubation Mechanism and Activity of Nodes

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