Research On Anti-monopoly Law Regulation Based On Data Advantage Abuse Of Market Dominance Behavior

As the Internet rapidly develops,the way operators compete changes significantly.Operators who can collect,compile and process valuable electronic data for market activities form a data value chain.This gives them an edge over their rivals and allows them to dominate the market.To increase their profits,operators try to expand their data capabilities and may abuse their market power based on their data resources.The abuse of market power based on data resources means that operators can control prices,quantities or other trading conditions in the relevant market,and hinder or affect the entry of other operators.These operators engage in anti-competitive behavior that excludes or restricts competition.Data resources are a means of production and a source of exclusivity.They help operators establish market power,which is often hidden.This behavior can be analyzed from the perspectives of competition,efficiency and consumer welfare in the theory of Chicago regulatory model.Algorithms that use data advantages can lead to unfair practices,harm consumer interests,and damage the environment for competition and innovation.Therefore,antitrust law should regulate the abuse of market power based on data advantages.Antitrust law regulation has more benefits than drawbacks in compensating for the losses caused by such abuse,regulating deep learning algorithms that use data advantages,and encouraging innovation.However,there are also some challenges,such as the difficulty of adapting to new business forms,meeting the standards of evidence in litigation,regulating the refusal of data access,protecting user data,and enforcing the law effectively.To solve these challenges,we should learn from the complementary role of the essential facilities principle in antitrust law regulation and pay attention to the privacy protection of consumers.