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| Model for Measuring the Threshold of Herd Immunity Spreading of Misinformation |
| Cao Gaohui, Yang Renbiao, Li Yuanyuan, Dong Huanqing |
| School of Information Management, Central China Normal University, Wuhan 430079 |
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Abstract The dissemination of false information misleads public cognition and interferes with the normal order of information dissemination. Therefore, effective measures are required to curb this issue. In this study, a disinformation group immunization threshold measurement model is constructed based on the theory of vaccination. The transmission threshold of disinformation group immunization and its stability are investigated by constructing a simulation and then analyzing the ambiguity of the threshold interval further. Two methods of predicting the threshold interval of the group immunization are proposed, namely, the linear trend method and interval multiplier method. The impacts of the model's key parameters on the process of disinformation group immunization are investigated. The disinformation population immunization transmission threshold is an interval range with different probability distributions. When the ratio of the number of immunizers to the number of believers is not smaller than the inverse of the ratio of their infectious capacities, disinformation group immunization can be achieved. Both estimation methods can effectively predict the threshold interval of disinformation group immunization. However, the linear trend method is more accurate than the interval multiplier method. The node delineation criterion mainly affects the size of the transmission threshold interval, while the node conversion rule mainly affects the range of the transmission threshold interval.
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Received: 15 January 2025
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