摘要
在算法技术和海量数据的加持下,数字平台实施“大数据杀熟”等算法歧视定价的条件被简化,愈发隐秘而普遍。对于数字平台,算法歧视定价是出于利润最大化目的的私利性商业行为。然而,随着数字平台数据要素积累、算法中性偏离和市场势力扩大,公共性逐渐被私利性侵蚀和异化,造成公共性滥用。在明确数字平台私利性和公共性的基础上,从算法歧视定价类型和平台公共属性表征两个维度具体分析平台公共性偏离。建议以数据保护、算法审查和反垄断监管作为三元路径,推动数字平台公共性回归,规范平台经济健康可持续发展。
With the support of algorithm technology and mass data,the conditions of discrimination pricing of algorithms such as"profiteering on big data"have been simplified and become more secret and common on digital platforms.For digital platforms,algorithmic discriminatory pricing is a selfish business behavior for the purpose of profit maximization.However,with the accumulation of data elements on digital platforms,the neutral deviation of algorithms and the expansion of market power,publicity is gradually eroded and dissimilated by private interests,resulting in the abuse of publicity.On the basis of clarifying the private interest and publicity of digital platform,the devia-tion of publicity of digital platform is analyzed from the two dimensions of algorithm discriminatory pricing type and platform public at-tribute representation.It is suggested to take data protection,algorithm review and anti-monopoly regulation as three paths to promote the public return of digital platforms and regulate the healthy and sustainable development of platform economy.
出处
《价格理论与实践》
北大核心
2023年第3期65-68,82,共5页
Price:Theory & Practice
基金
国家自然科学基金面上项目“生产网络视角下服务业技术进步影响因素、机制及路径优化研究”(72073139)的阶段性成果。
关键词
数字平台
双边市场
价格歧视
算法
digital platform
bilateral markets
price discrimination
algorithm
