A study on the competitive dissemination of disinformation and knowledge on social media

Wu, YiShu; Wang, Dandan; Ma, Feicheng

doi:10.1108/ajim-03-2022-0163

Cited by 3 publications

(2 citation statements)

References 40 publications

(63 reference statements)

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“…During the game, if Enterprise j chooses an information-sharing strategy, it may obtain shared information from Enterprise i, resulting in changes in the total amount of information [14,62]. In the game, the growth of the total amount of information of an enterprise is related to the probability S of information penetration [63]. In this paper, with reference to the relevant research of Zhao et al, the expression of the total amount of information of Enterprise i at t + 1 moment can be obtained as follows [14]:…”

Section: Game Enterprise Information Penetration Mechanismmentioning

confidence: 99%

Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain

Zhang

Li-hong

2023

Sustainability

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Enterprises in the prefabricated building supply chain (PBSC) only share information according to their interests, which is bound to cause conflicts of interest and reduce the efficiency of supply chain operations. To promote information sharing (IS) in PBSC, it is necessary to construct an evolutionary game model that fits the realistic network. In this paper, based on the integration of existing research, 13 influencing factors of IS in PBSC are analyzed comprehensively from the perspective of information ecology theory. In addition, due to the complexity and uncertainty of the PBSC, enterprise interaction and supply chain network structure affect the IS decision. Therefore, this paper builds an evolutionary game model of IS in PBSC under a scale-free network, and conducts numerical simulation analysis with MATLAB 2017 software to analyze the evolution law of enterprise IS under different situations. The results show that (1) when the network scale is large, the density of information sharers generally increases, and the speed of network evolution to a steady state generally slows down; (2) eight factors can promote the increase in information sharers’ density, and five factors can inhibit it, but factors have no significant effect on the speed of network evolution to reach the steady state. Based on the simulation results, this paper proposes countermeasures and suggestions such as strengthening the support of the policy environment and social environment, setting up the demonstration benchmark of leading construction enterprises, establishing a directional information resource database, and improving information technologies and risk management systems to provide the scientific basis for government supervision and enterprise decision making.

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Section: Game Enterprise Information Penetration Mechanismmentioning

confidence: 99%

Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain

Zhang

Li-hong

2023

Sustainability

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“…Network water armies are usually active in social networking platforms such as forums, Weibo, video sharing sites, etc. , and by disguising themselves as ordinary netizens or consumers, they influence normal users by posting, recovering and spreading blog posts (Jiaze (2021); Liu and Xia (2021); SHEN et al (2017); Shin et al (2011); Chen et al (2016); Geng et al (2023); Wu et al (2023)). Taking advantage of the fact that netizens do not know the facts, they cause adverse effects by guiding the direction of online public opinion and disrupting the order of the network (Guo et al (2023); Xu et al (2013); Jain et al (2023); Wang and Li (2023)).…”

Section: Introductionmentioning

confidence: 99%

A study on the propagation of online public opinion by internet water army

Nian,

Wang,

Zhang

et al. 2024

Soc. Netw. Anal. Min.

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In the dissemination of information on the Internet, internet water armies have gradually become an important influencing factor in the direction of public opinion. This paper takes Weibo as the research background, obtains real data, establishes a communication dynamics model, and quantitatively researches the influence of internet water armies on the dissemination of public opinion in social networks. Firstly, this paper obtains real hot events in Weibo, analyzes the number of retweets and comments under the same hot topics, and finds the users of the internet water armies. Secondly, this paper establishes a new social network SIwIcS propagation model based on the propagation mechanism among users in Weibo, combining with the SIS infectious disease model, and introducing the impulse effect, the heat effect, and the herd effect, to realize the research of public opinion propagation in Weibo. After that, the SIwIcS propagation model is applied to small-world and scale-free networks to simulate the propagation of public opinion in social networks and analyze the influence of internet water armies on the propagation. The experimental results summarize the influence of network water armies on the propagation of public opinion. Finally, the acquisition of real data is utilized to verify the rationality and validity of the model. This paper quantitatively considers the driving nature of internet water armies on the trend of public opinion in the communication dynamics model, which provides a reasonable decision-making basis for the dissemination and control of public opinion in social networks, and has important theoretical and practical significance.

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A Study on the Propagation of Online Public Opinion by Internet Water Army

Nian,

Wang,

Zhang

et al. 2023

Preprint

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In the dissemination of information on the Internet, internet water armies have gradually become an important influencing factor in the direction of public opinion. This paper takes Weibo as the research background, obtains real data, establishes a communication dynamics model, and quantitatively researches the influence of internet water armies on the dissemination of public opinion in social networks. Firstly, this paper obtains real hot events in Weibo, analyzes the number of retweets and comments under the same hot topics, and finds the users of the internet water armies. Secondly, this paper establishes a new social network S S propagation model based on the propagation mechanism among users in Weibo, combining with the SIS infectious disease model, and introducing the impulse effect, the heat effect, and the herd effect, to realize the research of public opinion propagation in Weibo. After that, the S S propagation model is applied to small-world and scale-free networks to simulate the propagation of public opinion in social networks and analyze the influence of internet water armies on the propagation. The experimental results summarize the influence of network water armies on the propagation of public opinion. Finally, the acquisition of real data is utilized to verify the rationality and validity of the model. This paper quantitatively considers the driving nature of internet water armies on the trend of public opinion in the communication dynamics model, which provides a reasonable decision-making basis for the dissemination and control of public opinion in social networks, and has important theoretical and practical significance.

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A study on the competitive dissemination of disinformation and knowledge on social media

Cited by 3 publications

References 40 publications

Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain

Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain

A study on the propagation of online public opinion by internet water army

A Study on the Propagation of Online Public Opinion by Internet Water Army

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