Abstract
Public health emergencies occurred frequently, which usually result in the negative Internet public opinion events. In the complex network information ecological environment, multiple public opinion events may be aggregated to generate public opinion resonance due to the topic category, the mutual correlation of the subject involved, and the compound accumulation of specific emotions. In order to reveal the phenomenon and regulations of the public opinion resonance, we firstly analyze the influence factors of the Internet public opinion events in the public health emergencies. Then, based on Langevin’s equation, we propose the Internet public opinion stochastic resonance model considering the topic relevance. Furthermore, three exact public health emergencies in China are provided to reveal the regulations of evoked events “revival” caused by original events. We observe that the Langevin stochastic resonance model considering topic relevance can effectively reveal the resonance phenomenon of Internet public opinion caused by public health emergencies. For the original model without considering the topic relevance, the new model is more sensitive. Meanwhile, it is found that the degree of topic relevance between public health emergencies has a significant positive correlation with the intensity of Internet public opinion resonance.
Highlights
In recent years, public health emergencies occur frequently and bring various kinds of Internet public opinion events
Due to the complex network information ecological environment interweaving with amounts of fake news, the resulting negative Internet public opinion arose and spread rapidly, which had caused great obstacles for public health departments to effectively identify, judge, and formulate effective response strategies. e Internet public opinion events of public health emergencies are especially prominent in the social media environment
Since social network attracts more and more netizens to participate by virtue of its universality, interactivity, group, autonomy, and other characteristics, these events are increasingly tending to the complex situation of correlation and serialization [1]. at is, the single Internet public opinion event may be aggregated with the historical public opinion events due to the topic category, the mutual correlation of the subject involved, and the compound accumulation of specific emotions
Summary
Public health emergencies occur frequently and bring various kinds of Internet public opinion events. Ese related public health emergencies continuously interact, derive, and aggregate to produce public opinion resonance event clusters, which have caused huge social impact in a short period of time. Since the World Health Organization named COVID-19 as new coronavirus pneumonia (NCP) in February 11, 2020, the Baidu index of the “novel coronavirus” keyword quickly reached the first peak of 22336 in February 13, 2020, and triggered the MERS COV keyword Baidu index of the other high peak of 9261, which generated the resonance of the two Internet public opinion events. In the social media environment, the negative effects caused by the public opinion superposition resonance of the topic-related events in public health emergencies are more significant than a single event.
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