摘要：In the era of global social media, Internet users’ privacy rights have been weakened, and the insight and alertness of individuals for privacy disclosure are decreasing. The security and flexibility of the system are usually the two ends of the measurement standard. While more and more users pursue the intelligence and convenience of using social media applications, letting big data technology and AI algorithms learn and use our privacy data cannot be avoided. On the basis of literature review, this paper summarized four categories of social media user behavior, which were divided into privacy concern behavior, privacy protection behavior, active disclosure behavior, and passive participation behavior. Using analytic hierarchy process, this paper explored their relationship with five different types of privacy: defensive privacy, identity authentication privacy, interactive privacy, psychological privacy, and integration information privacy. We finally formulated the most common twelve kinds of sub-internet user behavior on the degree of personal privacy disclosure, and provide users countermeasures to prevent privacy disclosure according to the different influence weights.
