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Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19

In the era of mobile internet, information dissemination has made a new leap in speed and in breadth. With the outbreak of the coronavirus disease 2019 (COVID-19), the COVID-19 rumor diffusion that is not limited by time and by space often becomes extremely complex and fickle. It is also normal that...

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Autores principales: Ju, Chunhua, Jiang, Yihao, Bao, Fuguang, Zou, Bilin, Xu, Chonghuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829072/
https://www.ncbi.nlm.nih.gov/pubmed/35155348
http://dx.doi.org/10.3389/fpubh.2021.788475
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author Ju, Chunhua
Jiang, Yihao
Bao, Fuguang
Zou, Bilin
Xu, Chonghuan
author_facet Ju, Chunhua
Jiang, Yihao
Bao, Fuguang
Zou, Bilin
Xu, Chonghuan
author_sort Ju, Chunhua
collection PubMed
description In the era of mobile internet, information dissemination has made a new leap in speed and in breadth. With the outbreak of the coronavirus disease 2019 (COVID-19), the COVID-19 rumor diffusion that is not limited by time and by space often becomes extremely complex and fickle. It is also normal that a piece of unsubstantiated news about COVID-19 could develop to many versions. We focus on the stagnant role and information variants in the process of rumor diffusion about COVID-19, and through the study of variability and silence in the dissemination, which combines the effects of stagnation phenomenon and information variation on the whole communication system in the circulation of rumors about COVID-19, based on the classic rumor SIR (Susceptible Infected Recovered) model, we introduce a new concept of “variation” and “oyster”. The stability of the new model is analyzed by the mean field equation, and the threshold of COVID-19 rumor propagation is obtained later. According to the results of the simulation experiment, whether in the small world network or in the scale-free network, the increase of the immure and the silent probability of the variation can effectively reduce the speed of rumor diffusion about COVID-19 and is conducive to the dissemination of the truth in the whole population. Studies have also shown that increasing the silence rate of variation can reduce COVID-19 rumor transmission more quickly than the immunization rate. The interesting discovery is that at the same time, a higher rumor infection rate can bring more rumors about COVID-19 but does not always maintain a high number of the variation which could reduce variant tendency of rumors. The more information diffuses in the social group, the more consistent the version and content of the information will be, which proves that the more adequate each individual information is, the slower and less likely rumors about COVID-19 spread. This consequence tells us that the government needs to guide the public to the truth. Announcing the true information publicly could instantly contain the COVID-19 rumor diffusion well rather than making them hidden or voiceless.
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spelling pubmed-88290722022-02-11 Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19 Ju, Chunhua Jiang, Yihao Bao, Fuguang Zou, Bilin Xu, Chonghuan Front Public Health Public Health In the era of mobile internet, information dissemination has made a new leap in speed and in breadth. With the outbreak of the coronavirus disease 2019 (COVID-19), the COVID-19 rumor diffusion that is not limited by time and by space often becomes extremely complex and fickle. It is also normal that a piece of unsubstantiated news about COVID-19 could develop to many versions. We focus on the stagnant role and information variants in the process of rumor diffusion about COVID-19, and through the study of variability and silence in the dissemination, which combines the effects of stagnation phenomenon and information variation on the whole communication system in the circulation of rumors about COVID-19, based on the classic rumor SIR (Susceptible Infected Recovered) model, we introduce a new concept of “variation” and “oyster”. The stability of the new model is analyzed by the mean field equation, and the threshold of COVID-19 rumor propagation is obtained later. According to the results of the simulation experiment, whether in the small world network or in the scale-free network, the increase of the immure and the silent probability of the variation can effectively reduce the speed of rumor diffusion about COVID-19 and is conducive to the dissemination of the truth in the whole population. Studies have also shown that increasing the silence rate of variation can reduce COVID-19 rumor transmission more quickly than the immunization rate. The interesting discovery is that at the same time, a higher rumor infection rate can bring more rumors about COVID-19 but does not always maintain a high number of the variation which could reduce variant tendency of rumors. The more information diffuses in the social group, the more consistent the version and content of the information will be, which proves that the more adequate each individual information is, the slower and less likely rumors about COVID-19 spread. This consequence tells us that the government needs to guide the public to the truth. Announcing the true information publicly could instantly contain the COVID-19 rumor diffusion well rather than making them hidden or voiceless. Frontiers Media S.A. 2022-01-27 /pmc/articles/PMC8829072/ /pubmed/35155348 http://dx.doi.org/10.3389/fpubh.2021.788475 Text en Copyright © 2022 Ju, Jiang, Bao, Zou and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Ju, Chunhua
Jiang, Yihao
Bao, Fuguang
Zou, Bilin
Xu, Chonghuan
Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19
title Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19
title_full Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19
title_fullStr Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19
title_full_unstemmed Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19
title_short Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19
title_sort online rumor diffusion model based on variation and silence phenomenon in the context of covid-19
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829072/
https://www.ncbi.nlm.nih.gov/pubmed/35155348
http://dx.doi.org/10.3389/fpubh.2021.788475
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