Bibliometric Analysis of Chinese and Foreign Public Opinion Under the COVID-19

Since the outbreak of COVID-19, the number of research related to online public opinion has grown significantly around the world. By analyzing the research hotspots and current situation of Chinese and foreign scholars during the pandemic, it is helpful to scientifically predict the development of news and public opinion scientifically and propose optimization strategies. This paper draws data from relevant literature published in China and other countries from 2020 to 2022 through bibliometrics, combined with time series analysis, co-occurrence analysis, and other methods to deeply explore the evolution of global public opinion hotspots under the pandemic. The result is presented in a map supported by VOSviewer, which allows a direct, horizontal comparison. It is found that there were obvious differences in the research focuses and research methods related to public opinion between China and the international communities in the early stage of the outbreak, while the research topics in the later period seem to have converged.