Research On The Correlation Of User Information Behavior On Danmu Video Website

With the development of the Internet,users can easily watch videos online by streaming through video websites or software.With the continuous innovation of video playback mode,bullet screen video has become a video mode loved by the mass of users,and motivated by the advantages of bullet screens,more and more video websites have started to use the bullet screen function.The number of domestic studies on the information behavior of video website users is relatively small,and communication science accounts for most of the research on a series of bullet-screen video websites,so focusing on the correlation between users’ various information behaviors will enrich the research content in this field.Therefore,in this paper,the main object of study is the famous domestic bullet screen video site Bilibili,and the information behavior of users in the bullet screen video site is used as the research element to explore the correlation between users’ various user information behaviors.In this paper,user information behavior of bullet screen video sites is investigated from the perspective of correlation,and through the analysis of domestic and foreign literature,user information behavior of bullet screen video sites is categorized into user video information selection behavior,user video information management behavior,user video information interaction behavior and user video information sharing behavior,and video playback,collection,retweeting,bullet screen and comment volume are identified as the measurement indexes of the above information behavior,with the help of The crawler tool was used to collect relevant data.The data were analyzed and processed by using SPSS software,and the correlation analysis of different types of video data was conducted according to the results of the difference test and classification of different types of bullet-sccreen video expressions,and the research results showed thatThe user information behaviors showed certain differences in different types of video works,and significant correlations were shown among users’ playback,bulletin,collection and comment in all four types of video works.In self-made videos,the majority of correlations among users’ behavior of playing,bulletin,collecting,retweeting and commenting in different partitions are significant.In general,there is a certain degree of positive influence between both user’s video information selection,management,interaction and sharing behaviors.