Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China

Research Article

A Study of Positive and Negative Information Dissemination Model on Multiple Networks of Awareness and Information under the Influence of News Media

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  • @INPROCEEDINGS{10.4108/eai.15-3-2024.2346543,
        author={Xiangyu  Ju and Yunxiao  Zhao and Shaorui  Geng},
        title={A Study of Positive and Negative Information Dissemination Model on Multiple Networks of Awareness and Information under the Influence of News Media },
        proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China},
        publisher={EAI},
        proceedings_a={PMIS},
        year={2024},
        month={6},
        keywords={information dissemination; layered social network; micro markov; news media},
        doi={10.4108/eai.15-3-2024.2346543}
    }
    
  • Xiangyu Ju
    Yunxiao Zhao
    Shaorui Geng
    Year: 2024
    A Study of Positive and Negative Information Dissemination Model on Multiple Networks of Awareness and Information under the Influence of News Media
    PMIS
    EAI
    DOI: 10.4108/eai.15-3-2024.2346543
Xiangyu Ju1,*, Yunxiao Zhao1, Shaorui Geng1
  • 1: Shandong Normal University
*Contact email: 2994178029@qq.com

Abstract

For the public management of online information, this paper proposes an optimization model to study the impact of news media. This paper constructs a network model of the awareness layer and the information layer. An external global influence is set to influence whether the awareness layer is conscious or not, dividing the nodes in the awareness layer into aware nodes and unaware nodes. Setting the internal intention of the nodes to classify the attitude of the nodes in choosing to accept different information as positive or negative when faced with the same topic information. Taking the degree of nodes into account, the interactions between high- and low-influence nodes are added to the information layer. We investigate the effect of news media nodes on the interactions among high-influence aware nodes, low-influence aware nodes, high-influence unaware nodes, and low-influence unaware nodes in a social network by using the micro-Markov method. Our study contributes to the research on the news media's ability to control information and the reaction of the masses to complex information.