东北大学学报（社会科学版）

东北大学学报（社会科学版） ›› 2016, Vol. 18 ›› Issue (5): 484-490.DOI: 10.15936/j.cnki.1008-3758.2016.05.007

• 政治与公共管理研究 • 上一篇    下一篇

大数据权力:一种现代权力逻辑及其经验反思

林奇富，贺竞超   

  1. (吉林大学行政学院，吉林长春130012)
  • 收稿日期:2016-07-01 修回日期:2016-07-01 出版日期:2016-09-25 发布日期:2016-09-22
  • 通讯作者: 林奇富
  • 作者简介:林奇富(1975-)，男，广东翁源人，吉林大学副教授，主要从事政治学理论、当代中国政治发展研究。
  • 基金资助:

    吉林省哲学社会科学基金资助项目(2014B10);吉林省教育厅“十二五”社会科学研究资助项目(吉教科文合字［2015］第482号);吉林大学廉政建设专项研究课题资助项目(2015LZY032);教育部哲学社会科学重大课题攻关资助项目(11JZD030)

Power of Big Data: One Logic of Modern Power and Practical Reflection

LIN Qi-fu， HE Jing-chao   

  1. (College of Administration， Jilin University， Changchun 130012， China)
  • Received:2016-07-01 Revised:2016-07-01 Online:2016-09-25 Published:2016-09-22
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摘要：

大数据的飞速发展已成为当下社会关注的热点问题。从政治学理论的视角来看，大数据既是一种权力范式，也是一种权力叙事，它遵循权力的逻辑，不断生产、重塑和支配新的政治经济社会关系。大数据权力蕴含着两种逻辑:能力逻辑和结构逻辑。能力逻辑展现的是其角色性、对象性和技术性维度;结构逻辑展现的是其关系性、规则性和格局性维度。这两种逻辑既蕴含着积极的内生力量，也因其对社会权力系统的冲击而可能诱致公共领域和私人领域的风险错配和冲突，对此我们需要建构并形成一种理性、审慎的数据权力共识和数据治理观念。

关键词: 现代权力, 大数据权力, 能力逻辑, 结构逻辑, 大数据困境

Abstract:

Undoubtedly，big data has become one of the hottest issues in the present society. Based on the political theories， big data is not only a paradigm of power， but also a narrative of power， which follows the logic of power to continuously produce， reshape and dominatenew political， economic and social relationships. Power of big data consists of two types of logic， i.e.， logic of capability and logic of structure. The former manifests itself in such dimensions asrole， object and technology， whereas the latter is characterized by such dimensions as relationship， rule and pattern. The two kinds of logic contain positive endogenous power; however， theymay also stun and shock the normal social power system to induce risks of mismatch and conflicts in both public and private domains. Accordingly， a type of rational and prudent common insight as well as governance concept on power of big data is to be constructed.

Key words: modern power, power of big data, logic of capability, logic of structure, predicament of big data

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