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Strategies for controlling false online information during natural disasters: The case of Typhoon Mangkhut in China

Author

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  • Lian, Ying
  • Liu, Yijun
  • Dong, Xuefan

Abstract

On September 16, 2018, Typhoon Mangkhut, with record sustained winds of an estimated 110–115 mph, struck southern China, causing tremendous damage to the region. Since then, there have been many online discussions about the typhoon and how the government responded to it. In the domain of emergency response to disasters, the increasingly prominent role of social websites has been confirmed. This paper presents a case study of public attitudes and opinions regarding Typhoon Mangkhut that were collected from the Sina Weibo and WeChat websites, as well as from news websites. We then present a method for managing false online information in the wake of such natural disasters. The method consists of four phases: information extraction, sentiment recognition, opinion classification, and simulation analysis. In the last phase, a simulation experiment was conducted to assess how false information spreads. We used three scenarios in the simulation—namely, a real scenario, an isolation scenario, and an embedment scenario, each of which was based on a scale-free network based on a scale-free network. The results showed that the embedment strategy better controlled the transmission of false information than did the isolation strategy. In addition, we have provided some practical suggestions. This paper contributes to the literature on the emergency management of natural disasters.

Suggested Citation

  • Lian, Ying & Liu, Yijun & Dong, Xuefan, 2020. "Strategies for controlling false online information during natural disasters: The case of Typhoon Mangkhut in China," Technology in Society, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:teinso:v:62:y:2020:i:c:s0160791x1930569x
    DOI: 10.1016/j.techsoc.2020.101265
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    1. Hua Bai & Guang Yu, 2016. "A Weibo-based approach to disaster informatics: incidents monitor in post-disaster situation via Weibo text negative sentiment analysis," 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. 83(2), pages 1177-1196, September.
    2. Sejeong Kwon & Meeyoung Cha & Kyomin Jung, 2017. "Rumor Detection over Varying Time Windows," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-19, January.
    3. 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.
    4. Eduardo Cavallo & Ilan Noy, 2009. "The Economics of Natural Disasters: A Survey," Research Department Publications 4649, Inter-American Development Bank, Research Department.
    5. Tian, Yong & Ding, Xuejun, 2019. "Rumor spreading model with considering debunking behavior in emergencies," Applied Mathematics and Computation, Elsevier, vol. 363(C), pages 1-1.
    6. Lian, Ying & Dong, Xuefan & Liu, Yijun, 2017. "Topological evolution of the internet public opinion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 567-578.
    7. Kathryn C. Finch & Kassandra R. Snook & Carmen H. Duke & King-Wa Fu & Zion Tsz Ho Tse & Atin Adhikari & Isaac Chun-Hai Fung, 2016. "Public health implications of social media use during natural disasters, environmental disasters, and other environmental concerns," 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. 83(1), pages 729-760, August.
    8. Loayza, Norman V. & Olaberría, Eduardo & Rigolini, Jamele & Christiaensen, Luc, 2012. "Natural Disasters and Growth: Going Beyond the Averages," World Development, Elsevier, vol. 40(7), pages 1317-1336.
    9. Dong, Xuefan & Liu, Yijun & Wu, Chao & Lian, Ying & Tang, Daisheng, 2019. "A double-identity rumor spreading model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
    10. Toya, Hideki & Skidmore, Mark, 2007. "Economic development and the impacts of natural disasters," Economics Letters, Elsevier, vol. 94(1), pages 20-25, January.
    11. Deng, Guoying & Gan, Li & Hernandez, Manuel A., 2015. "Do natural disasters cause an excessive fear of heights? Evidence from the Wenchuan earthquake," Journal of Urban Economics, Elsevier, vol. 90(C), pages 79-89.
    12. Fuli Zhang, 2017. "Evaluating journal impact based on weighted citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1155-1169, November.
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    Cited by:

    1. Pang, Hua & Liu, Jun & Lu, Jiahui, 2022. "Tackling fake news in socially mediated public spheres: A comparison of Weibo and WeChat," Technology in Society, Elsevier, vol. 70(C).
    2. Turgut Acikara & Bo Xia & Tan Yigitcanlar & Carol Hon, 2023. "Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature," Sustainability, MDPI, vol. 15(11), pages 1-50, May.
    3. Ying Lian & Xiaofeng Lin & Xuefan Dong & Shengjie Hou, 2022. "A Normalized Rich-Club Connectivity-Based Strategy for Keyword Selection in Social Media Analysis," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    4. Yang, Zaoli & Wu, Qingyang & Venkatachalam, K. & Li, Yuchen & Xu, Bing & Trojovský, Pavel, 2022. "Topic identification and sentiment trends in Weibo and WeChat content related to intellectual property in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    5. Hou, Shengjie & Zhang, Xiang & Yi, Biyi & Tang, Yi, 2022. "Public attitudes on open source communities in China: A text mining analysis," Technology in Society, Elsevier, vol. 71(C).
    6. Raj, Chahat & Meel, Priyanka, 2022. "People lie, actions Don't! Modeling infodemic proliferation predictors among social media users," Technology in Society, Elsevier, vol. 68(C).
    7. Liu, Liyi & Tu, Yan & Zhou, Xiaoyang, 2022. "How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study," Technology in Society, Elsevier, vol. 71(C).
    8. Zha, Wenbin & Ye, Qian & Li, Jian & Ozbay, Kaan, 2023. "A social media Data-Driven analysis for transport policy response to the COVID-19 pandemic outbreak in Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    9. Lian, Ying & Dong, Xuefan, 2021. "Exploring social media usage in improving public perception on workplace violence against healthcare workers," Technology in Society, Elsevier, vol. 65(C).
    10. Balakrishnan, Vimala & Ng, Kee S. & Rahim, Hajar Abdul, 2021. "To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia," Technology in Society, Elsevier, vol. 66(C).

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