Research On Users' Privacy Self-disclosure Behavior In Social Network Sites

With the rapid development of mobile Internet,social networking sites are further developing in the direction of localization and mobility,and social networking sits such as micro-blog and WeChat,have become one of the mainstream social means used in people's daily social life.With the gradual expansion of personal social circle,in order to further maintain and strengthen relationships with friends,individuals'self-disclosure behavior in their social circle is gradually increasing,but individuals' self-disclosure behavior often with privacy disclosure,which there is a certain degree of privacy risk.The existing research mainly focuses on the adoption intention of social network sites,privacy concern and the motivational factor of self-disclosure behavior.The study of users' privacy self-disclosure behavior is only the behavior intention,but the behavior intention and actual behavior are obviously different,and it can not represent the user's actual privacy self-disclosure behavior.More importantly,these studies have used the questionnaires to collect personal data,but the approach of questionnaire has some limitations.This type of research can only be privacy self-disclosure behavior intention,and for the actual privacy self-disclosure behavior has not received much attention.Therefore,this paper is to study users' actual privacy self-disclosure behavior in social network sites,and to explore the influencing factors that affect the actual behavior of user privacy self-disclosure.This paper is intended to investigate the effect of users'demographics,social network site experience,personal social network size,and blogging productivity on privacy self-disclosure behaviors All the objective data used in the study were collected from the largest social network Sina Micro-blog platform in China using web crawlers.Based on two levels of disclosed privacy information sensitivity,we convert the textual information of user's micro-blog postings into a four-tuple to represent privacy self-disclosure patterns,including breadth and depth of self-disclosure of privacy,self-disclosure breadth,high-sensitivity disclosure,less of sensitivity disclosure.Privacy self-disclosure patterns can effectively reflect the user's actual privacy self-disclosure behavior in the social network sites.After processing the textual information of users'micro-blog postings,this study applies the generalized linear model to fit the research model,and carries on the grouping test of the different age and sex,and draws the following conclusion:(1)Experimental results showed that men and women users about breadth and depth of privacy self-disclosure in social network sites is significantly different.Compared with male users,female users in the social network will self-disclose more privacy information.(2)There was a significant negative correlation between age and the breadth,depth and high-sensitivity of privacy self-disclosure.With age increasing,users in the social network of self-disclosure of privacy information will be reduced to some extent.(3)There is a significant relationship between social network experience and personal social network size and micro-blog length and in users' privacy self-disclosure behavior.This shows that the more rich social networking experience and the larger of personal social networks size,users in the social network self-disclosure much privacy information.However,there is no significant relationship between social networking experience and personal social network size in group testing.(4)The number of micro-blog postings has always been positively related to the behavior of self-disclosure in privacy.Users on the micro-blogging post more posts,to a certain extent,will increase the self-disclosure of the actual behavior of private information.