Evolution mechanism and influencing factors of multidimensional public opinion dissemination from the perspective of game theory

IF 7.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Engineering Applications of Artificial Intelligence Pub Date : 2024-09-16 DOI:10.1016/j.engappai.2024.109319
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Abstract

With the popularization and development of the Internet, in-depth investigation into the evolutionary mechanism of online multidimensional public opinion dissemination is crucial to modern public opinion management. This study introduces game theory into the analysis of the driving mechanism and propagation law of online public opinion, constructs a multi-dimensional public opinion network model covering social, psychological, viewpoint and environmental dimensions, and combines systematic simulation and empirical analysis. The study found: (1) In the process of online public opinion communication, the activity level of micro individuals is influenced by the comprehensive benefits of the game. The game benefits are internally affected by the benefits of publishing and receiving public opinion, and the cost of publishing public opinion. Externally, they are affected by the trust between opinion leaders; (2) Increasing the costs of publishing public opinion can effectively reduce the proportion of active participants in public opinion. Increasing the benefits of receiving or publishing public opinion will increase the proportion of active participants in public opinion; (3) A higher average social bandwagon accelerates the polarization process of viewpoints in the spread of online public opinion, while a higher average social trust slows down the speed of viewpoint polarization in the spread of online public opinion. An unfavorable external environment helps promote the polarization of viewpoints in the spread of online public opinion. This study provides a new perspective for understanding and predicting the dissemination of online public opinion, and a scientific basis for the government to formulate effective online public opinion management strategies.

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博弈论视角下多维度舆论传播的演化机制与影响因素
随着互联网的普及和发展,深入探究网络多维舆情传播的演化机制对现代舆情管理至关重要。本研究将博弈论引入网络舆情的驱动机制和传播规律分析,构建了涵盖社会、心理、观点、环境等维度的多维舆情网络模型,并将系统模拟与实证分析相结合。研究发现:(1)在网络舆情传播过程中,微观个体的活跃程度受游戏综合效益的影响。游戏收益对内受舆情发布收益、舆情接收收益和舆情发布成本的影响。从外部来看,则受到意见领袖之间信任度的影响;(2)增加舆情发布成本可以有效降低舆情活跃参与者的比例。提高接收或发布舆情的收益会提高舆情的积极参与者比例;(3)社会平均带动力越高,网络舆情传播中的观点极化进程越快,而社会平均信任度越高,网络舆情传播中的观点极化速度越慢。不利的外部环境有助于促进网络舆论传播中的观点极化。本研究为理解和预测网络舆论传播提供了新的视角,为政府制定有效的网络舆论管理策略提供了科学依据。
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来源期刊
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence 工程技术-工程:电子与电气
CiteScore
9.60
自引率
10.00%
发文量
505
审稿时长
68 days
期刊介绍: Artificial Intelligence (AI) is pivotal in driving the fourth industrial revolution, witnessing remarkable advancements across various machine learning methodologies. AI techniques have become indispensable tools for practicing engineers, enabling them to tackle previously insurmountable challenges. Engineering Applications of Artificial Intelligence serves as a global platform for the swift dissemination of research elucidating the practical application of AI methods across all engineering disciplines. Submitted papers are expected to present novel aspects of AI utilized in real-world engineering applications, validated using publicly available datasets to ensure the replicability of research outcomes. Join us in exploring the transformative potential of AI in engineering.
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