Analysis of User’s Balance Between Private and Public -- One Case from the TikTok
Abstract
Information privacy is of paramount importance to everyone, but there are many Internet users’ privacy leaks. But inevitably, internet users need to provide some information of their own to satisfy a better web experience. Therefore, it is necessary to study the balance between personal information sharing and personal privacy. The study’s goal is to develop a mathematical model that quantifies the trade-offs between individuals and society regarding the disclosure of private information. In the process of research, researchers use targeted questionnaires to obtain first-hand raw data, analyze users’ choices between sharing personal data and protecting personal privacy, and obtain users’ preferences for privacy protection measures. Through multi-dimensional statistical analysis of the questionnaire results, this paper reflects the current users’ awareness of personal privacy protection and the public’s attitude towards the current phenomenon of privacy acquisition on social media. Furthermore, based on the original data of the questionnaire, it provides effective suggestions for researchers to modify the privacy protection policies of media platforms.
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