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A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies

Author

Listed:
  • Yuzhou Hou

    (Central South University)

  • Xuanhua Xu

    (Central South University
    Hunan University of Technology and Business)

  • Zongrun Wang

    (Central South University)

  • Weiwei Zhang

    (Hunan University of Technology and Business)

Abstract

With the increasing frequency of emergencies, reliable public opinion fusion has become an important research topic in public opinion analysis and management. However, the public is unorganized and susceptible to manipulation, which poses a challenge. Therefore, from the perspective of coevolution, a human-machine collaborative decision-making mechanism considering manipulative behavior is constructed to ensure the timeliness, democracy, and reliability of public opinion fusion in emergencies. First, an opinion-trust coevolution process is proposed to simulate the human group decision-making environment. Next, a function of the degree of manipulation tendency is constructed based on the extreme opinion expression and influence behaviors of individuals. Then, a machine moderator is trained to manage manipulative behaviors via the feedback adjustment parameters of the human group’s social network, and a human-machine collaborative decision-making mechanism is constructed. Finally, the proposed method is applied to public opinion fusion by considering a torrential rainstorm in Fujian Province, China, as a case study. The results of simulation analyses verify the reliability and effectiveness of the proposed mechanism.

Suggested Citation

  • Yuzhou Hou & Xuanhua Xu & Zongrun Wang & Weiwei Zhang, 2025. "A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-17, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05638-6
    DOI: 10.1057/s41599-025-05638-6
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    References listed on IDEAS

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    1. Shan Gao & Ye Zhang & Wenhui Liu, 2021. "How Does Risk-Information Communication Affect the Rebound of Online Public Opinion of Public Emergencies in China?," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
    2. Sasaki, Yasuo, 2023. "Strategic manipulation in group decisions with pairwise comparisons: A game theoretical perspective," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1133-1139.
    3. Liu, Bingsheng & Zhou, Qi & Ding, Ru-Xi & Palomares, Iván & Herrera, Francisco, 2019. "Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination," European Journal of Operational Research, Elsevier, vol. 275(2), pages 737-754.
    4. Mingwei Wang & Decui Liang & Zeshui Xu, 2022. "Consensus achievement strategy of opinion dynamics based on deep reinforcement learning with time constraint," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(12), pages 2741-2755, December.
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