| 摘要: |
| 我们似乎正处于一个大规模"评分社会"的初始阶段,本文试图为这一趋势的发生和演进给出一种法律社会学解释,即低成本的信息搜集和评价工具使经济和政治权力主体均有不同的动力和理由对大众日常行为进行评分:对商业力量而言,平台企业需要评分机制塑造私人化的市场基础设施,从而约束管理平台上发生的各类劳动和交易活动;对政府而言,需要依托信息技术的广泛应用将既有官僚机制下的行政权力转化成能进一步适应更大流动性社会的平台。本文认为,尽管算法可能加剧了现有法律和其他规则的转变,但从商业和公共管理的逻辑出发,广泛采用评分机制是更好的策略,不仅可以帮助将更多细节行为纳入管理,还可以为进一步优化法律和平台成文规则提供数据支撑,为算法权力提供更多可应用的场景。 |
| 关键词: 评分 公共信用信息 算法 平台 社会规范 |
| DOI： |
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| 基金项目:国家社科基金一般项目“中国网络法的演进模式研究”（批准号:17BFX027）的阶段性研究成果； |
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| Sources of Digital Social Power： Reproduction of Ranking, Algorithm, and Norm |
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Hu Ling
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| Abstract: |
| It seems we are at the beginning of a mass “ranking society” currently. This paper attempts to interpret the occurrence and evolution of this trend from a law and society perspective： information collection and ranking tools with low costs facilitate both economic and political power to provide scores over mass activities with different incentives and reasons. For commercial power, platform needs the ranking system to become part of private infrastructure of digital market, so as to regulate various labor and activities on the platform; for the government, however, it needs to make use of widely used information technologies to transform the bureaucratic system to more adaptive to fast flowing society. This paper argues that although algorithms could increase the transformation of law and social norms, it is a good strategy to widely adopt ranking system for commercial and administrative entities. |
| Key words: Ranking, Public Credit Information, Algorithm, Platform, Social Norm |
