Abstract

Meta-regulation is a regulation model that retunes the ability of self-regulation, which can take full advantage of the information and resources possessed by the regulated, is more sensitive to the market situation, and can enhance the incentive of the regulated to comply with the rules. Therefore, it is suitable for the regulated that is complex and in a dynamic evolutionary state. The uncertainty of algorithmic risk breaks through the ability of the traditional regulation model, while the meta-regulation model is a reference paradigm. The meta-regulation of platform algorithms has the characteristics of reflexivity, and the procedural regulation required by it can be achieved in three aspects: authentication system, transparency and accountability. Meta-regulation of platform algorithms is not limited to regulating the management of the platform itself and external regulation by the government, but should also empower third-party organizations to play a role in establishing high standards of industry compliance and creating value through meta-regulation by taking advantage of their concentrated technical and professional resources. The relationship between public and private subjects that are interconnected and mutually supportive is the development trend of platform algorithm governance in the future.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.