The risks caused by climate change are worsening worldwide, and it is recognized that national and regional responses to climate change are essential. This study therefore explores climate change risks that have been recognized as fatal to people and the environment by analyzing multi-influence factors that appear in multiple risk indicators. The climate change risks in this study are based on 73 existing risk indicators; the frame data for multi-influence risk factors are based on 3098 newspaper articles published over 24 years on the impact of climate change in South Korea. The main outcomes for this study were finding climate change risk trend from newspaper articles regarding climate change impacts through text-mining, and figuring out the multi-risk indicators that are likely to occur at the same time with other risk indicators using network analysis. From the network analysis, we found that the major risk indicators have a high degree of interrelationship among risk indicators, including “increase in mortality rate from disaster”, “increase in flood areas due to coastal flooding”, and “destruction of repair facilities due to flooding (river bank, etc.)”. The main risk indicators derived from this study can therefore be used as a reasonable standard when identifying the main risks posed by climate change and defining future adaptation planning priorities.