Analysis on the “Douyin (Tiktok) Mania” Phenomenon Based on Recommendation Algorithms

As one of the most popular short video platform, Douyin has accumulated more than half Chinese netizens as its daily active users. Many users spend plenty time viewing videos, which make addiction become a widespread phenomenon. In this paper, author analyzes algorithm principles used in Douyin. Combining both perspectives mass media communication and technology to explain how it effects addiction. For thing, recommendation caters by fully meeting their needs. Using hierarchical interest label tree, user persona partitioned data buckets strategy recommend accurate personalized contents. another, uses collaborative filtering low-cost interaction design mechanism traps for The also finds that there is closed-loop relationship between optimization. positively users’ continuance intention. Meanwhile, frequent Douyin, will be. If not intervened, may be severely exacerbated. So, comes up with few suggestions developers users, trying break closed-loop.