Abstract
For the aim of responding to the climate change, countries around the world have successively unveiled policies to reduce carbon emissions, such as the Carbon Peaking and Carbon Neutrality Goals in China and restarting of nuclear power plants in France. As a kind of clean energy, nuclear energy plays a key role in the process of carbon neutrality. However, due to the particularity and the limited communication channels for the public to access nuclear power fields, the group is often influenced by negative feedback during the promotion of nuclear power projects, which obstructs the development of projects. Hereon, keeping abreast of public opinion information and making correct guidance in communications has become an important link in promoting a virtuous circle of the nuclear industry.
This paper studies the framing principle of the nuclear power public opinion prevention and control system, the construction strategy of each module and the application of new technologies, which could realize wide-range collection of public opinions, real-time monitoring, simulation sorting out context of events based on hot words, correcting simulation deviations by the system based on machine learning results, also, providing early warning of in-time monitoring results. The findings of this research organically integrate the new public opinion prevention and control technology with public communication, which is an exploration of the application of new information technology in the field of public communication.
