Abstract
In recent years, male beauty bloggers on short video platforms have gradually emerged and swept the Internet as a new group that differed from female beauty bloggers and others. And this has become a common phenomenon. In this paper, computer communication and Big Data are used to analyze the tweet data of male beauty bloggers, and build a topic model to reconstruct the transmission path of male beauty short videos and summarize the law behind it.
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