图书情报知识 ›› 2025, Vol. 42 ›› Issue (4): 139-150.doi: 10.13366/j.dik.2025.04.139

• 情报、信息与共享 • 上一篇    下一篇

基于沉默螺旋理论的社交机器人网络舆情干预研究

张凌1,2, 刘琼1, 贺昌茂3   

  1. 1.武汉科技大学管理学院,武汉,430081;
    2.武汉科技大学湖北产业政策与管理研究中心,武汉,430081;
    3.武汉海昌信息技术有限公司,武汉,430081
  • 出版日期:2025-07-10 发布日期:2025-08-16
  • 通讯作者: 张凌(ORCID:0000-0002-3837-8215),博士,教授,研究方向:社交网络、信息与知识管理,Email:beauty_ling@hotmail.com。
  • 作者简介:刘琼(ORCID:0009-0001-5459-6044),硕士,研究方向:社交网络、舆情传播,Email:1921523145@qq.com;贺昌茂(ORCID:0009-0001-8144-1582),学士,研究方向:人工智能、数据挖掘,Email: 10236962@qq.com。
  • 基金资助:
    本文系湖北省教育厅哲学社会科学重点研究项目“社交网络环境下失真信息传播治理机制研究”(22D018)的研究成果之一。

The Intervention of Social Bots in Online Public Opinion Based on the Spiral of Silence Theory

ZHANG Ling1,2, LIU Qiong1, HE Changmao3   

  1. 1.School of Management, Wuhan University of Science and Technology, Wuhan, 430081;
    2.Hubei Industrial Policy and Management Research Center, Wuhan University of Science and Technology, Wuhan, 430081;
    3.Wuhan Haichang Information Technology Co., Ltd, Wuhan, 430081
  • Online:2025-07-10 Published:2025-08-16
  • Contact: Correspondence should be addressed to ZHANG Ling, Email:beauty_ling@hotmail.com, ORCID:0000-0002-3837-8215
  • Supported by:
    This is an outcome of the Key Research Project of Philosophy and Social Sciences "Research on Governance Mechanism of Misinformation Transmission in the Social Network Environment"(22D018)supported by the Department of Education of Hubei Province.

摘要: [目的/意义]探讨智媒时代下不同网络环境中社交机器人对公众舆论的影响,以发现社交机器人在制造网络舆情方面的潜在作用,为网络舆情管理提供参考意见。[研究设计/方法]结合沉默螺旋理论,运用ABM仿真方法构建不同网络结构(无标度网络、小世界网络、随机网络和真实社交网络),研究不同阶段下社交机器人对公众意见表达的影响。[结论/发现]少数社交机器人参与舆论传播就能大概率触发沉默的螺旋效应,并且网络环境的差异对社交机器人舆情干预存在影响。此外,社交机器人在塑造舆论格局方面扮演着关键角色,一定比例的正义性社交机器人协助媒体可以有效提高舆论引导效率。[创新/价值]将沉默螺旋理论与ABM仿真方法结合使用,分析在社交网络舆情中如何利用社交机器人对舆情进行干预与监控。

关键词: 舆情干预, 社交机器人, 社交网络, 沉默螺旋理论

Abstract: [Purpose/Significance] This paper aims to explore the impact of social bots on public opinion across various online environments in the era of smart media, to uncover the potential role of social bots in generating online public sentiment, and to provide reference suggestions for the management of online public sentiment. [Design/Methodology] Incorporating the Spiral of Silence theory and employing Agent-Based Modeling(ABM)simulation method, this paper constructed various network structures, including scale-free network, small-world network, random network, and real-world social network, to investigate the influence of social bots on public opinion expression at different stages. [Findings/Conclusion] If only a minority of social bots engage in public opinion dissemination, there is a high likelihood of triggering the spiral effect of silence. Furthermore, the variations in the online environment have an impact on the intervention of social bots in public sentiment. Additionally, social bots play a pivotal role in shaping the landscape of public opinion, and a certain proportion of justice-oriented social bots, in collaboration with the media, can effectively enhance the efficiency of public opinion guidance. [Originality/Value] Integrating the Spiral of Silence Theory with Agent-Based Modeling(ABM)simulation method, this paper analyzes how social bots can be utilized in intervening in and monitoring public sentiment within social networks.

Keywords: Public opinion intervention, Social bots, Social network, The Spiral of Silence Theory