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

Mei, Yanlan; Tu, Yan; Xie, Kai; Ye, Yicheng; Shen, Wenjing

doi:10.3390/su11164440

Cited by 23 publications

(7 citation statements)

References 43 publications

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“…Subsequently, the AHPSort II has been evolved by considering group decision-making ( Assumma et al, 2021 , López and Ishizaka, 2017 ). Mei et al (2019) used AHPSort II and DEMATEL method to analyze the earthquake public opinion level of Yibin City, Sichuan Province. As an extension of the AHPSort method, AHPSort II has fewer comparison times, more convenient usage, more accurate results, and its effectiveness has been verified ( Xie et al, 2019 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…As the Internet provides a rapid and widespread public opinion, uncontrolled dissemination of false information can easily lead to helplessness and panic of the public, and also reduce the credibility of the government ( Saltzman et al, 2020 ). The unstable Internet public opinion may affect the stability and development of society ( Mei et al, 2019 ). Government intervention is one of the effective means to reduce the negative influence of rumors and public opinion ( Huo & Ma, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

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Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Liu

et al. 2022

Information Processing & Management

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In the period of Corona Virus Disease 2019 (COVID-19), millions of people participate in the discussion of COVID-19 on the Internet, which can easily trigger public opinion and threaten social stability. This paper creatively proposes a multi-stage risk grading model of Internet public opinion for public health emergencies. On the basis of general public opinion risk grading analysis, the model continuously pays attention to the risk level of Internet public opinion based on the time scale of regular or major information updates. This model combines Analytic Hierarchy Process Sort II (AHPSort II) and Swing Weighting (SW) methods and proposes a new Multi-Criteria Decision Making (MCDM) method – AHPSort II-SW. Intuitionistic fuzzy number and linguistic fuzzy number are introduced into the model to evaluate the criteria that cannot be quantified. The multi-stage model is tested using more than 2,000 textual data about COVID-19 collected from Microblog, a leading social media platform in China. Seven public opinion risk assessments were conducted from January 23 to April 8, 2020. The empirical results show that in the early COVID-19 outbreak, the risk of public opinion is more serious on macroscopic view. In details, the risk of public opinion decreases slowly with time, but the emergence of important events may still increase the risk of public opinion. The analysis results are in line with the actual situation and verify the effectiveness of the method. Comparative analysis indicates the improved method is proved to be superior and effective, sensitivity analysis confirms its stability. Finally, management suggestions was provided, this study contributes to the literature on public opinion risk assessment and provides implications for practice.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Liu

et al. 2022

Information Processing & Management

Self Cite

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“…these phenomena on the cruise tourists, the lives of the cruise staff, the cruise homeport facilities and equipment, and so on. These phenomena are a great threat to the life and safety of cruise tourists, cruise staff, and the facilities and equipment of the cruise homeport, so port cities and related departments are required to effectively eliminate, prevent and rescue these unstable factors [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Research on Emergency Management of Public Emergencies in Cruise Ports under the Strategy of Free Trade Port in the Context of Informatisation

Song

2024

Applied Mathematics and Nonlinear Sciences

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The emergency response capability of cruise ports to public emergencies is related to the development of various industries and plays an important role in economic construction and social development. An evaluation system for cruise port’s emergency management and risk warning ability is established based on the 4R crisis management model and enterprise risk warning model in this paper. The subjective weights calculated by the G1 method and the objective weights solved by the COWA operator are combined by the linear weighting method in order to realize the accuracy and objectivity of the index weights. Then the object element topable model is introduced to comprehensively evaluate the emergency management and risk warning capability of cruise ports, and S International Cruise Port is used as an example to verify the validity. The results show that the weight value of emergency response capability in the emergency management capability is 0.3552, and the weight of equipment and facility performance in the risk warning capability reaches 0.3548, and the emergency management and risk management capabilities of the cruise port are significantly correlated at the 10% level. The comprehensive evaluation of the emergency management and risk warning capability of cruise ports can be realized by using the object element topable model, which can provide a guarantee for the improvement of the emergency management capability of cruise ports in public emergencies.

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“…Social media provides a space for emotional venting and the collision of ideas, making it an amplifier of public opinion [9]. Trends in public opinion are known to affect social stability [10]. The COVID-19 epidemic has aroused widespread public discussion on social media.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Evolution of User Emotion and Opinion Leaders’ Information Dissemination Behavior in the Knowledge Q&A Community during COVID-19

Wang

et al. 2021

IJERPH

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Since its emergence in 2019, COVID-19 has quickly triggered widespread public discussion on social media. From 26 February 2020 to 26 September 2020, this study collected data on COVID-19-related posts in the knowledge Q&A community, identified 220 opinion leaders of this community, and used social network analysis and sentiment analysis to analyze the information exchange behavior and emotional evolution of the opinion leaders during COVID-19. The results show that the COVID-19 topic community could be divided into seven main categories. The information dissemination of opinion leader information dissemination network had low efficiency, multiple paths, and a high degree of control. In addition, the emotional evolution of users showed obvious phased characteristics. User emotion changed from initially strong negative to strong positive over the course of the pandemic and eventually tended to be objective and neutral as time passed and the event stabilized.

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

Cited by 23 publications

References 43 publications

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Research on Emergency Management of Public Emergencies in Cruise Ports under the Strategy of Free Trade Port in the Context of Informatisation

Analysis of the Evolution of User Emotion and Opinion Leaders’ Information Dissemination Behavior in the Knowledge Q&A Community during COVID-19

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