A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies
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 coev...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer Nature
2025-08-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-05638-6 |
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| author | Yuzhou Hou Xuanhua Xu Zongrun Wang Weiwei Zhang |
| author_facet | Yuzhou Hou Xuanhua Xu Zongrun Wang Weiwei Zhang |
| author_sort | Yuzhou Hou |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4b6828c1fcef4e5a81cd8582d29e146d |
| institution | Kabale University |
| issn | 2662-9992 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Humanities & Social Sciences Communications |
| spelling | doaj-art-4b6828c1fcef4e5a81cd8582d29e146d2025-08-24T11:14:10ZengSpringer NatureHumanities & Social Sciences Communications2662-99922025-08-0112111710.1057/s41599-025-05638-6A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendenciesYuzhou Hou0Xuanhua Xu1Zongrun Wang2Weiwei Zhang3Central South UniversityCentral South UniversityCentral South UniversityHunan University of Technology and BusinessAbstract 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.https://doi.org/10.1057/s41599-025-05638-6 |
| spellingShingle | Yuzhou Hou Xuanhua Xu Zongrun Wang Weiwei Zhang A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies Humanities & Social Sciences Communications |
| title | A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies |
| title_full | A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies |
| title_fullStr | A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies |
| title_full_unstemmed | A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies |
| title_short | A human-machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies |
| title_sort | human machine collaborative dynamic group consensus mechanism for mitigating manipulative tendencies |
| url | https://doi.org/10.1057/s41599-025-05638-6 |
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