This study compared and analyzed the social perception of carbon neutrality of ordinary citizens in China and Korea through social media big data analysis. As a research method, text data for three years from August 2021 to August 2024 were collected ...
This study compared and analyzed the social perception of carbon neutrality of ordinary citizens in China and Korea through social media big data analysis. As a research method, text data for three years from August 2021 to August 2024 were collected from five web portals, including Naver, Google, Daum, Baidu, and Weibo, with the keyword of '碳中和' and analyzed using Textom, a text mining tool. Through word frequency analysis, N-gram analysis, TF-IDF analysis, and LDA topic modeling, the carbon neutrality perception structure of citizens of both countries was systematically identified.
As a result of the analysis, China and China showed common interests in policies and technology, energy and green economic transformation, and global cooperation. China focused on state-led macro-strategies, while Korea emphasized implementation-oriented approaches such as citizen participation, ESG management, and micro-practice measures. In addition, Chinese data drew carbon market mechanisms and structural transformation, and Korean data drew carbon reduction practices in daily life as the main topics.
In terms of methodology, this study combined text mining and traditional literature analysis to present a new path for the study of social perception of environmental concepts. In practical terms, it can contribute to scientific reference materials for policy establishment, optimization of environmental promotion education, green transformation of companies, and ESG strategies. In addition, the established social perception analysis framework can be expanded to international comparative studies and can be used as a reference for cooperative promotion of global climate governance.