This study attempted to examine through what content structure keywords related to CSV have been delivered to consumers for 10 years from 2011 to September 2021. As a result of topic modeling related to CSV, similar concept confusion frames, CSV development necessity frames, and discussion necessity frames were common in news articles and blogs. However, in the case of news articles, there was a difference in cooperation and support for small and medium-sized enterprises, solving problems for the socially under-privileged, a win-win frame for local communities, and a strategy frame for securing competitiveness for blogs. On the other hand, as a result of examining the four major centrality indicators of news articles and blogs related to CSV through semantic network analysis, it was possible to guess the similarity of semantic network between news articles and blogs. Finally, as a result of QAP correlation analysis between news articles and blogs, it was found that there was a statistically significant positive correlation between the news article agenda and the blog agenda. In addition, as a result of MR-QAP regression analysis, it was confirmed that the agenda shown in the news article also affects the agenda shown in the blogs.