Study on Network Public Opinion Dissemination and Coping Strategies in Large Fire Disasters

Ma, Yufeng; Shu, Xueming; Shen, Shifei; Song, Jiang; Li, Gang; Liu, Quanyi

doi:10.1016/j.proeng.2014.04.088

Cited by 27 publications

(12 citation statements)

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“…Ma et al pointed out that Internet users play an important role in the communication of rumor. Meanwhile, the government needs to do a good job in information release and actively grasp the trend of public opinion to respond to doubts [56]. Through the above research, we can find that the government and network users are closely related to the problem of rumors.…”

Section: B Rumor Propagationmentioning

confidence: 95%

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Tripartite Evolutionary Game Analysis for Rumor Spreading on Weibo Based on MA-PT

2021

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With the rapid development of social media, Weibo rumors have increasingly attracted widespread attention. To maintain sustainable development of network ecology, it is necessary to clarify the evolution law of rumor propagation. First, evolutionary game model is applied to examine the interaction mechanisms of complex behaviors between Weibo rumor makers, Weibo users and governments in accordance with MA-PT (Mental Accounts and Prospect Theory). Next, the replication dynamic equation is used to solve the equilibrium strategy points of each player. It was found that the evolution game does not have a stable equilibrium point. Finally, we conduct empirical simulation to verify the model and primary conclusions. Results demonstrate that, 1) The reference value plays an important role in the strategic choices of players.2) With the high value of psychological satisfaction of "Herding effect", Weibo users choose to repost rumors.3) Increasing the value of punishment, Weibo rumor makers are less likely to adopt the strategy of making rumors. 4) The higher loss of social unrest can encourage governments to adopt strict management strategies to maintain good online order. The results can guide governments to make better decisions in network governance.

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Section: B Rumor Propagationmentioning

confidence: 95%

“…With the pervasive spread of rumors, it will affect the credibility of the government and lead to social unrest. Therefore, it's the responsibility of the government to supervise Weibo rumor makers, so as to safeguard the rights and interests of Weibo users and maintain social stability [56].…”

Section: A Problem Description and Model Assump-tionsmentioning

confidence: 99%

Tripartite Evolutionary Game Analysis for Rumor Spreading on Weibo Based on MA-PT

2021

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“…In the face of developing Internet public opinion, how to handle emergencies in colleges and universities and minimise the influence of Internet public opinion on these institutions has become the research focus of domestic and foreign scholars. Regarding the formation mechanism (Li et al , 2020; Ma et al , 2014), influencing factors (Lee and Yan, 2020), evolution law (Xu et al , 2020) and measures (Jiang et al , 2016) of Internet public opinion, scholars have revealed the law in the generation and dissemination of public opinion using system dynamics, social network analysis, multiple regression and case analysis. They also used butterfly effect theory, agenda-setting theory, the spiral of silence theory, public sphere theory, aggressive motivation theory, social capital theory, deindividuation theory and group polarisation theory (Ai et al , 2018; Zhu and Hu, 2018).…”

Section: Introductionmentioning

confidence: 99%

Factors influencing college students’ behaviours of spreading internet public opinions on emergencies in universities

Liu

2021

IDD

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Purpose This study aims to explore the influencing factors on college students’ behaviours of spreading Internet public opinion on emergencies in colleges and universities. This study provides a reference for these institutions to cope with and reduce the influence of Internet public opinion on emergencies and maintain their normal teaching order. Design/methodology/approach In this study, a research model by using motivation theory and design a questionnaire on the basis of relevant literature are constructed. This paper surveys college students and collects a total of 317 valid questionnaires. On the basis of the reliability and validity of the questionnaire, this study verifies the proposed model by using Smart PLS. Findings The results show that social motivation and information source preference have significant positive influences on college students’ willingness to spread Internet public opinion on emergencies in colleges and universities. Moreover, information source preference has a significant moderating effect on the relationship between social motivation and dissemination willingness. If college students’ information source preference is high, then the moderating effect is significant. The extent of college students’ interaction and involvement has a significantly positive influence on their trust in the dissemination platform for Internet public opinion on emergencies in colleges and universities. Egoism has a significantly positive influence on the social motivation of college students to spread Internet public opinion on emergencies in colleges and universities. Involvement degree has a significant moderating effect on the relationship between social motivation and trust. If college students’ involvement degree is low, then the moderating effect is significant. Thus, when the involvement of college students in Internet public opinion on emergencies in colleges and universities is low, the influence of social motivation on trust is great. Originality/value This study increases the influencing factors in the literature on Internet public opinion, enriches the research theory of Internet public opinion on emergencies in colleges and universities and expands the application scope of the theory of social motivation. The conclusion provides guidance for colleges and students to govern Internet public opinion on emergencies and improve the ability of these institutions in dealing with Internet public opinion on emergencies.

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“…He (2013) proposes a Network Communication Model for predicting information dissemination in network by analyzing message forwarding and the preprocessing of the online public opinion. Ma et al (2014) note that it is difficult to identify the information content’s authenticity and accuracy because public opinions spread quickly on microblog.…”

Section: Introductionmentioning

confidence: 99%

Public opinion dissemination on mobile internet- a case of Ebola

Wang

Zhao

Yang

et al. 2017

IDD

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Purpose This study aims to improve disaster management. Social media, particularly microblog, has become a new platform for public opinion dissemination. However, few studies have been conducted to explore the structure of public opinions, the approaches for facilitating the spread of public opinions and the results of public opinion dissemination in the context of mobile internet for the purpose of improving disaster management. Design/methodology/approach This paper chooses Ebola as the research topic and extracts 14,735 Ebola-related data items from Sina Microblogs to examine the information nodes of public opinion and the characteristics of propagation paths on mobile internet. Particularly, nodes of public opinion between mobile terminals and non-mobile terminals are compared. Findings The results of this paper reveal the characteristics of public opinion propagation on mobile internet and verify the effectiveness of public opinion propagation on mobile internet. This study shows that public opinions propagate quickly, widely and efficiently and further generate great impacts on mobile internet. Research limitations/implications The methods used in this study can be useful for the government agencies and other relevant organizations to monitor public opinions, identify issues and problems proactively and develop strategies in a more efficient manner to improve disaster management. Practical implications The results of this paper are helpful for related departments to monitor public opinions and to further improve disaster management. Originality/value This paper explores the mechanism of public opinion dissemination on mobile internet and further investigates how to improve disaster management through a case study related to Ebola.

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Study on Network Public Opinion Dissemination and Coping Strategies in Large Fire Disasters

Cited by 27 publications

References 0 publications

Tripartite Evolutionary Game Analysis for Rumor Spreading on Weibo Based on MA-PT

Tripartite Evolutionary Game Analysis for Rumor Spreading on Weibo Based on MA-PT

Factors influencing college students’ behaviours of spreading internet public opinions on emergencies in universities

Public opinion dissemination on mobile internet- a case of Ebola

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