Research On The Objectivity Of Data-self Mirror And Its Influencing Factors

Today,big data is increasingly used in all areas of social life.The significance of big data is to reflect reality through quantitative means,in order to build a mirror image of the real world,to help people understand the objective world and understand themselves.In recent years,various APPs have launched “Personal Annual Reports” at the end of the year,depicting individual user portraits with their stored user data,which not only helps users manage life consumption trajectories,but also establishes data-self mirrors for them.This study takes mirror theory as the theoretical foundation and uses qualitative research methods to explore the objective problems of data-self mirror when presenting the subject self.Firstly,through text analysis,the study summarizes the classification、construction process and four presentation dimensions of the data-self mirror in the "personal annual report".Furthermore,the study selected Net Ease Cloud Music's annual song list and Alipay's annual bill as a case for in-depth interviews with users to explore the objective status and influencing factors of data-self mirror.The results show that the mirror's objectivity of the self in the above four dimensions is limited and presents a certain law.The factors that affect objectivity can be divided into the non-objectivity of the data processing process,the implicit control of the algorithm mechanism,and the control of brand owner's marketing motivation.Combining mirror theory for reflection,the following conclusions are drawn: data-self mirror is the user's behavior self-reflection,the technical role of self-materialization,andalso the projection of the ideal self.The value of this study is to help individuals establish a correct attitude towards big data and technology culture,provide recommendations for the optimization of data marketing products,and also provide new directions for subsequent research.