Abstract
As an empirical case, this study selected the illegal production process incidents of rabies and DPT (Diphtheria, Pertussis, Tetanus) vaccines by Changchun Longevity Biotechnology Co., Ltd., which occurred in July 2018. Based on the four factors involved in the spread of public opinion, the public health emergency, netizen, network media, and government, Brusselator model, and entropy method were applied to calculate the positive and negative entropy—to verify whether the Internet public opinion system is a dissipative structure. This study verified four evolution mechanisms in Internet public opinion diffusion, among which the trigger point of entropy-control occurred in the germination mechanism, the entropy-controlled disposal point occurred in the outbreak and fluctuating mechanism, and then became latency in the elimination mechanism. It provides a theoretical reference for the government to judge the stage of such diffusion and improve the governance ability of the opinion mentioned above.
Highlights
In recent years, with the frequent occurrence of public health emergencies, research on Internet public opinion related to such events has become an essential part of public health crisis management
The total entropy change of the system shows that the spread of Internet public opinion of this event has undergone a process of order before germination, disorder during germination, chaos during an outbreak and fluctuation, and gradually formed an orderly and stable development in the final elimination stage
According to the dissipative structure criterion of the Internet public opinion diffusion process, the results reveal that the absolute value of total negative entropy of the system is greater than the absolute value of positive total entropy
Summary
With the frequent occurrence of public health emergencies, research on Internet public opinion related to such events has become an essential part of public health crisis management. If the positive entropy input is greater than the negative entropy, it may lead to a positive total entropy value of the system This indicates that the system is in a state of disorder and confusion; netizens still have demand for the truth regarding the event, and the process of Internet public opinion diffusion has not subsided. According to the above expression, in the process of public opinion diffusion in public health emergencies, as long as the concentration of positive and negative entropy A and B is controlled and the conditional relationship |B| > 1 + A2 is reached, the system will evolve from imbalance to order. The total entropy change of the system shows that the spread of Internet public opinion of this event has undergone a process of order before germination, disorder during germination, chaos during an outbreak and fluctuation, and gradually formed an orderly and stable development in the final elimination stage.
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