Self-preferencing of Digital Platforms:Behavior Types and Legal Regulations
The healthy development,optimization and strength of digital platforms require strengthening antitrust supervi-sion,and self-preferencing is one of the key points of digital platform antitrust.As an umbrella concept,self-preferencing should not be generalized and should be limited to internal discussions within the platform,specifically referring to the pref-erential treatment given by the"dual role platform"to self-operated commercial activities within the platform.The practice patterns of self-preferencing can be divided into three types,namely algorithm manipulation,data utilization,and platform rule support.Different types of self-preferencing have different behavioral characteristics.Self-preferencing has the anti-competitive nature of a"dual-wheel monopoly",which can cause competitive damage to consumers and other operators.Its legal regulations cannot be lenient or strict.Behaviorism theory should be adopted,with a focus on analyzing the effects of behavior,adhering to the unity of punitive and incentive regulations,and encourage and guiding digital platforms to estab-lish compliance review mechanisms for self-preferential behavior.
digital platformself-preferencingdual-wheel monopolyalgorithmdata