User Needs Analysis of "Dazi Culture" Based on Social Media Text Mining
Abstract
As a new social phenomenon, “Dazi culture” has gradually become an increasingly important means for contemporary urban people to seek efficient and precise companionship. In this study, we take the “Dazi” recruitment posts downloaded from Xiaohongshu as research objects, and conduct quantitative analysis on the popularity indicators of 2，000 posts. Then, we explore whether these posts contain other kinds of emotional or social needs besides the functional needs, and verify the specific screening method used by users in the process of seeking high-quality social experience. In addition, the results show that the needs of users are composed of functional needs, safety needs and emotional needs, and the proportion of emotional needs is the largest. In the case of relevant data support from correlation analysis, it is verified that the “soft thresholds” required in the recruitment posts by users for obtaining high-quality social experience, such as the requirements for personality and emotional state, had a significantly positive correlation with the social effectiveness of the posts. This strongly proves that only when the pre-screening method is used can the social effectiveness be improved and the success rate of social experience greatly increased. This study provides data support for studying new types of interpersonal relationships in the digital age.
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