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.

The implementation of the Government Guides Funds (GGFs) policy by China’s government plays an important role in guiding domestic private capital to participate in innovation and entrepreneurship activities. This study empirically analyzed the impact of GGFs in facilitating the domestic optimization process of urban innovation in China. Based on panel data from 285 cities from 2008 to 2021, this study uses the Spatial Durbin Model (SDM) to verify the impact of GGFs on urban innovation and its mechanism. The findings reveal that GGFs exert a positive influence on the urban innovation of both the immediate regions and the neighboring areas of the policy-origin city. The effectiveness of GGFs varies geographically, with more pronounced spatial spillover impacts observed in the eastern regions of China. Further research shows that industrial upgrading amplifies the direct impact of GGFs on urban innovation, while its indirect effectiveness is not significant. Finally, based on empirical findings, this study also underscores the necessity of local governments in tailoring the management of GGFs to local conditions and promoting sustainable urban innovation and regional development. Our findings provide noteworthy implications for governmental administrators and regulators in promoting the systemic optimization of GGFs operations within the context of sustainable urban development.