数据垄断形成机制与监管分析

    Analysis on the Formation Mechanism and Supervision of Data Monopoly

    • 摘要: 数据垄断及其对市场竞争的影响是数字平台反垄断分析的一个疑难问题。守门人地位、切换成本、人工智能算法和数据保护制度不健全等因素,加剧了电子商务、搜索引擎、移动操作系统、社交媒体等数字平台公司对数据的控制,推动形成集中度高甚至赢者通吃的市场结构。数据垄断既能够通过多种渠道增进市场效率,又容易限制和排除竞争,剥夺用户和第三方厂商利益;数据反垄断监管应当充分考虑数据兼具公共产品和私人产品的复杂特征,围绕数据保护、共享、移植、安全、算法和使用等环节的问题,在约束数据领域不当行为、探索数据公地建设、完善非歧视规则和鼓励数据去中心化存储等方面形成较为完善的制度。

       

      Abstract: Data monopoly and its impact on market competition is a difficult issue in antitrust analysis of digital platforms. Factors such as gatekeeper status, switching costs, artificial intelligence algorithms, and imperfect data protection systems intensify the control of data by digital platform companies, and promote the formation of highly centralized and even winners-eat-all market structure. Data monopoly can not only improve market efficiency through various channels, but also easily restrict and eliminate competition, depriving users and third-party manufacturers of the benefits. Data anti-monopoly supervision should fully consider the complex characteristics of data as both public and private products, and focus on issues such as data protection, sharing, transplantation, security, algorithms and use, restricting discriminatory behavior in the field of data, exploring the construction and development of data commons, and encouraging the formation of a relatively complete system in terms of data decentralized storage.

       

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