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Internet Public Opinion Risk Grading under Emergency Event Based on AHPSort II-DEMATEL

Author

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  • Yanlan Mei

    (School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
    School of Management, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Yan Tu

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

  • Kefan Xie

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Yicheng Ye

    (School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
    Industrial Safety Engineering Technology Research Center of Hubei Province, Wuhan 430081, China)

  • Wenjing Shen

    (LeBow College of Business, Drexel University, Philadelphia, PA 19104, USA)

Abstract

The internet often serves as a communication platform for users to freely express opinions. However, as it supports the quick and wide spread of public opinions, it often results in great uncertainty and is very difficult to control. As a result, evaluating the risk levels of internet public opinion becomes very challenging. The safety of internet public opinion affects the sustainability and stability of society. In this paper, a novel conceptual model of internet public opinion governance is proposed. The model can be used to grade risk levels by combining the Analytic Hierarchy Process Sort II (AHPSort II) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) under a fuzzy environment with triangular fuzzy sets. A numerical example is provided to verify the efficiency of the proposed method, and some managerial implications are also discussed.

Suggested Citation

  • Yanlan Mei & Yan Tu & Kefan Xie & Yicheng Ye & Wenjing Shen, 2019. "Internet Public Opinion Risk Grading under Emergency Event Based on AHPSort II-DEMATEL," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4440-:d:258344
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    2. Shi, Lingyuan & Yang, Xin & Chang, Ximing & Wu, Jianjun & Sun, Huijun, 2023. "An improved density peaks clustering algorithm based on k nearest neighbors and turning point for evaluating the severity of railway accidents," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    3. Xu Xu & Zhigang Li & Rui Wang & Li Zhao, 2021. "Analysis of the Evolution of User Emotion and Opinion Leaders’ Information Dissemination Behavior in the Knowledge Q&A Community during COVID-19," IJERPH, MDPI, vol. 18(22), pages 1-18, November.
    4. Zhang, Jietao & Tu, Yan & Liu, Jun & Liu, Liyi & Li, Zongmin, 2022. "Regional public transportation safety risk grading assessment under time dimension: A case study of Chinese mainland," Transport Policy, Elsevier, vol. 126(C), pages 343-354.
    5. 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).

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