平台企业算法歧视形成动因及治理对策研究
Research on the Causes and Governance Countermeasures of Algorithmic Discrimination in Platform Enterprises

平台企业飞速发展的当前，规范数字平台算法歧视的市场力量和政府监管都具有局限性。利益驱使下企业容易丧失自主性且目前行业自律规则并不成熟，同时算法相关审查、问责机制不完善，受技术因素限制政府监管难以起效。算法歧视的有效治理直接关系消费者在平台的待遇是否公平乃至市场经济平稳发展。本文运用模糊定性分析比较法(fsQCA)，结合扎根理论对平台企业算法歧视的形成动因及治理对策进行研究，总结出六大因素并进行fsQCA变量分析，得出对应四条组合路径并探讨结论与对策。
With the rapid development of platform companies, the market forces and government supervision that regulate algorithmic discrimination on digital platforms have limitations. Driven by interests, companies are prone to losing their autonomy, and current industry self-regulatory rules are im-mature. At the same time, algorithm-related review and accountability mechanisms are imperfect, and government supervision is difficult to be effective due to technical factors. The effective governance of algorithmic discrimination is directly related to whether consumers are treated fairly on the platform and even the stable development of the market economy. This article uses the fuzzy qualitative analysis and comparison method (fsQCA) and combines grounded theory to study the causes and governance strategies of algorithmic discrimination in platform companies. It summarizes six major factors and conducts fsQCA variable analysis. It draws corresponding four combination paths and discusses conclusions and countermeasures.