The Analysis Of Self-presentation Which Based On Wechat Acquintance Relationship Circle

Up to the December of 2104, the number of surfing the Internet with cell phone is about557 million.And the first data report of Wechat platform shows that 55.2% of the users use Wechat for ten times. We can say that, with the development of mobile internet, social application has already become the significant part of our life; Represented by the Wechat of the“micro age”, the traditional social concepts of space and time, atmosphere even the style has been greatly changed. Under the imaginary situation of acquaintance link, there shows the new characters of the users’ self-presentation.American sociologist Erving Goffman believes that life is a drama. Everyone plays its own role in this huge social stage, and they try their best to be accepted by the audience. So what’s the different from the Wechat stage and the traditional stage? In front of the “collective”relatives and friends, what are the new forms of the user’s role-playing ? How the Wechat playing strategy will influence the user’s daily life ? Step sampling and purposive sampling will be used in this article. And based on the Dramaturgy of Goffman, the writer will analysis the Wechat users’ role-playing and the way, the character and the motivate of them.Through the research we can find that the strong-ties’ Wechat stage makes the users’ idealization can mostly based on reality and the mystery of distance has gone. In the interaction with friends, the way that using thumbs-up to show the praise or attention is so welcomed.Meanwhile, the masking functions of Wechat makes big continent for the users to apart from the spam and the unwelcomed audience. And once the play is crashed, the player will pay the heavy price in real life. So based on the research of previous information about the weak-ties of microblog and anonymous community, the article explores the new meaning of mobile social networking in traditional self-presentation theory, and provide clues for the follow-up study of users’ behaviors.