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The impact of official rumor-refutation information on the dynamics of rumor spread

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  • Zhang, Yi
  • Xu, Jiuping
  • Nekovee, Maziar
  • Li, Zongmin

Abstract

The rapid development of the internet has resulted in a significant rise in online rumor spreading. Therefore, effectively reducing or eliminating the harm resulting from these rumors has become a new research focus. This paper proposed a variant of classic Susceptible–Infected–Recovered (SIR) disease transmission model to explore the influence of official rumor-refutation information quantity and content on rumor spread. A nonlinear differential equation model was constructed to describe the rumor propagation process and a next-generation matrix method employed to calculate rumor propagation threshold R0. Two types of equilibrium points are solved, and it is proven that when R0<1, the rumor-free equilibrium is globally asymptotically stable, and when R0>1, the rumor propagation equilibrium is locally asymptotically stable. A sensitivity analysis was performed on R0, and the impact of official rumor-refutation information content on the sensitivity of the R0 related parameters is considered. Then certain numerical values were assigned to the relevant parameters and the evolutionary mechanism simulated in different situations, with the theoretical results being verified using numerical simulation. It was found that the quantity of official rumor-refutation information played a positive but non-critical role in the rumor dissemination process, it even has a backfire effect in rumor controlling process under certain conditions, while the official rumor-refutation information content was a key factor affecting the dissemination threshold; therefore, official rumor-refutation information content needs to be improved to effectively control rumor spread. Finally, some policy suggestions that can contribute to rumor management in an emergency event were given.

Suggested Citation

  • Zhang, Yi & Xu, Jiuping & Nekovee, Maziar & Li, Zongmin, 2022. "The impact of official rumor-refutation information on the dynamics of rumor spread," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
  • Handle: RePEc:eee:phsmap:v:607:y:2022:i:c:s0378437122006781
    DOI: 10.1016/j.physa.2022.128096
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    References listed on IDEAS

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    1. Zhang, Yaming & Su, Yanyuan & Weigang, Li & Liu, Haiou, 2018. "Rumor and authoritative information propagation model considering super spreading in complex social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 395-411.
    2. Agarwal, Puneet & Aziz, Ridwan Al & Zhuang, Jun, 2022. "Interplay of rumor propagation and clarification on social media during crisis events - A game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 298(2), pages 714-733.
    3. Huo, Liang’an & Chen, Sijing & Zhao, Laijun, 2021. "Dynamic analysis of the rumor propagation model with consideration of the wise man and social reinforcement," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    4. Huo, Liang-an & Huang, Peiqing & Fang, Xing, 2011. "An interplay model for authorities’ actions and rumor spreading in emergency event," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3267-3274.
    5. Zhao, Laijun & Wang, Qin & Cheng, Jingjing & Zhang, Ding & Ma, Ting & Chen, Yucheng & Wang, Jiajia, 2012. "The impact of authorities’ media and rumor dissemination on the evolution of emergency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 3978-3987.
    6. Silva, S.L. & Ferreira, J.A. & Martins, M.L., 2007. "Epidemic spreading in a scale-free network of regular lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(2), pages 689-697.
    7. Lu, Peng, 2019. "Heterogeneity, judgment, and social trust of agents in rumor spreading," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 447-461.
    8. Bairong Wang & Jun Zhuang, 2018. "Rumor response, debunking response, and decision makings of misinformed Twitter users during disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(3), pages 1145-1162, September.
    9. Afassinou, Komi, 2014. "Analysis of the impact of education rate on the rumor spreading mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 43-52.
    10. Zhao, Laijun & Qiu, Xiaoyan & Wang, Xiaoli & Wang, Jiajia, 2013. "Rumor spreading model considering forgetting and remembering mechanisms in inhomogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 987-994.
    11. Eva K. Lee & Siddhartha Maheshwary & Jacquelyn Mason & William Glisson, 2006. "Large-Scale Dispensing for Emergency Response to Bioterrorism and Infectious-Disease Outbreak," Interfaces, INFORMS, vol. 36(6), pages 591-607, December.
    12. Zhang, Nan & Huang, Hong & Su, Boni & Zhao, Jinlong & Zhang, Bo, 2014. "Dynamic 8-state ICSAR rumor propagation model considering official rumor refutation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 333-346.
    13. Huo, Liang’an & Wang, Li & Zhao, Xiaomin, 2019. "Stability analysis and optimal control of a rumor spreading model with media report," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 551-562.
    14. Zhao, Laijun & Wang, Qin & Cheng, Jingjing & Chen, Yucheng & Wang, Jiajia & Huang, Wei, 2011. "Rumor spreading model with consideration of forgetting mechanism: A case of online blogging LiveJournal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2619-2625.
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