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网络舆情中基于心理暗示的温和舆论引导策略研究

  • 刘与同 ,
  • 陈曦 ,
  • 刘与同 ,
  • 陈曦
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  • 华中科技大学人工智能与自动化学院,武汉 430074
刘与同(1998-),男,湖南长沙人,硕士研究生,主要研究方向为复杂系统建模与仿真。

收稿日期: 2022-12-21

  修回日期: 2023-02-22

  网络出版日期: 2024-11-07

基金资助

国家自然科学基金(71974063)

Moderate Online Opinion Guidance Strategy Based on Psychological Suggestion

  • LIU Yutong ,
  • CHEN Xi ,
  • LIU Yutong ,
  • CHEN Xi
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  • School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China

Received date: 2022-12-21

  Revised date: 2023-02-22

  Online published: 2024-11-07

摘要

为应对网络舆论环境中信息茧房效应的消极影响,考虑在舆论引导过程中将个体对引导观点的接受程度,提出基于心理暗示的温和观点引导策略,并构建了基于心理暗示的温和引导策略模型。通过实验分析了引导强度与引导比例的影响,研究了引导策略对舆论演化过程的影响,并在多个网络下验证了引导策略的稳定性,最后与传统度引导策略进行了对比。结果表明温和引导在引导效果具有优越性,尤其是能在中长期对群体舆论进行持续影响。

本文引用格式

刘与同 , 陈曦 , 刘与同 , 陈曦 . 网络舆情中基于心理暗示的温和舆论引导策略研究[J]. 复杂系统与复杂性科学, 2024 , 21(3) : 30 -37 . DOI: 10.13306/j.1672-3813.2024.03.005

Abstract

To cope with the negative impact of the information cocoon effect in the network public opinion environment, we take the individual′s acceptance of guiding opinion into consideration, propose a moderate opinion guidance strategy based on psychological suggestion, and propose a moderate opinion dynamic model. We analyze the influence of guidance strength and guidance ratio through simulation experiments, and the influence of moderate guidance strategy on the evolution process of public opinion is studied. Then, we verify the stability of the bootstrapping strategy under multiple networks and compares it with traditional degree booting. The results show the superiority of moderate guidance in guiding effect, especially in the long term.

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