의미 네트워크(Semantic Network)를 활용한 글로벌 반중 (反華) 현상에 대한 중국 내 인식 분석

Abstract

The purpose of this study is to explore the Chinese perception of the global anti-China phenomenon after the COVID-19 pandemic. And we took a text mining analysis on the anti-China keyword news taken from the Chinese internet portal Baidu. As a result of the analysis, we found four major thematic groups, which have the following meanings. 1.The spread of the global anti-China phenomenon is due to media reports by anti-China forces centered on the United States. 2. The anti-China phenomenon was exacerbated by reports linking the COVID-19 pandemic with China's political and diplomatic conflicts and local events within China. 3. Western societies' tribalism and 'China threat’ theory are the causes of anti-China phenomenon 4. The global anti-China phenomenon is a threat to national security, and the solution is to educate the new generation on values.