Research On Individual Information Protection Of News App Based On Privacy Policies Of 34 News App

"Front-end free,back-end profitable" is the main operation mode of mobile APP.Seemingly free services are actually exchanged with personal information.With the development of precision marketing profit model,user data has become the core resource for platform profit.Among them,news APP can realize personalized content recommendation by collecting,identifying and analyzing user behavior data,which also puts personal information at greater risk.This paper selects 34 domestic news APP,takes privacy policies as research samples,constructs a comprehensive evaluation system of privacy policies from three dimensions: external characteristics of privacy policies,personal information processing activities,and protection of personal information rights,refines them into48 measurable three-level indicators,and assigns scores to privacy policies.The study found that the personal information protection of the news APP has the following problems: first,the low readability of the privacy policy eliminates the effectiveness of "informed consent".The text of the privacy policy of the news APP is long,complex and professional,which leads to the fact that the user’s consent authorization is not based on the personal information processing rules already known;Second,format contracts force users to agree comprehensively.Privacy policies of news APP often appear in the form of format clauses arranged in a package,and users can only choose to accept or give up the use of them.Moreover,format contracts imply inequality.Third,the personal information rights in the privacy policy of the news APP are "nominal",and some rights are not effectively protected.Fourth,there are significant differences in the protection of personal information between commercial media and traditional media.Commercial media are more detailed in their privacy policies,but will collect and share more personal information.Fifth,the opaque rules of algorithm recommendation based on personal information damage users’ right to know,exit mechanism and independent regulation mechanism,and damage users’ right to self-determination.The algorithm recommendation rules based on personal information are opaque,which damages the user’s right to know.The algorithm recommendation withdrawal mechanism and autonomous regulation mechanism lack,which damages the user’s right to self-determination.In view of the above problems,this paper proposes the regulation path of personal information protection in news APP: firstly,the platform guarantees the implementation of personal information rights and interests,improves the menu selection of personal information collection,and improves the regulation mechanism of algorithm recommendation content;Second,legislative departments should improve legal norms,include personal information into the protection scope of public law,clarify the minimum collection scope and clarify the information sharing boundary;Third,supervise the regular review of platform privacy policies.These regulatory measures not only provide experience reference for platforms,but also provide ideas for legislative supervision departments to protect personal information.