This study analyzes user attitude and network according to the type of information by examining the YouTube channel ? Sampro TV. YouTube is a platform where users can search and obtain information while also shaping public opinion by leaving comments on the comments section. This study examines how users receive information from YouTube and the extent to which information re-diffusion occurs. For the purpose of this study, all 3,662 videos on Sampro TV and six popular videos of them were analyzed. These six videos were divided into two groups based on the information: investment and real estate. Initially, word frequency in the titles of 3,662 videos on Sampro TV were analyzed to determine the manner in which information was provided. The comments from the six popular video were then used to examine user attitude based on discourse analysis to determine whether there was a difference in user attitude depending on the type of information provided. Moreover, the scripts of the YouTube videos were used to examine users’information acceptance behavior by comparing user comments and the results of semantic network analysis. Finally, the data of information re-diffusion in the comments were analyzed through the user network. The results of analysis showed that Sampro TV mostly aired live streaming videos during commuting hours, covering content mostly related to investment. User attitude varied depending on the information type; it was observed that supporting attitudes were more prevalent for investment related content, while critical attitudes were more dominant for real estate related videos. The observations on user attitude were also influenced by the likability of the cast. Comparing the semantic network of the video scripts and comments revealed that users were actively consuming information provided in the videos through the comments. The user network was closer in the investment type of videos than the real estate type. This study is significant as it analyzed the attitudes and acceptance behaviors based on information type from the users’ perspective, using a YouTube channel producing content related to finance and economy. Moreover, it is also significant as it is the first study to compare YouTube video scripts and comments.