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理解数据资本的四重逻辑

The Fourfold Logic of Understanding Data Capital

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从"数据要素"的初级形态到具有使用价值和价值的"数据商品",再到兼具生产力和生产关系特征的"数据资本",这一过程演绎着技术逻辑和资本逻辑的相互渗透.数字劳动力成为数据资本增殖的关键,数据商品成为数据资本积累的重要形式,基于算法技术的数据资本全面控制社会生产、消费、流通和分配过程.在充分发挥数据资本作为重要生产要素的积极作用、使之从生产力层面推动我国经济社会跨越式发展的同时,必须防范数据资本的逐利本性带来的资本野蛮生长和无序扩张乱象,引导数据资本在社会主义市场经济制度框架下积极有为.
From the primary form of"data elements"to"data commodities"as the unity of use-value and value,and further to"data capital"characterized by productive forces and relations of production,this process elucidates the interplay between technical logic and capital logic.The digital labor force has become pivotal for the proliferation of data capital with data commodities emerging as a crucial form of accumulation within data capital Algorithmic technology-based data capital comprehensively controls the process of social production,consumption,circulation,and distribution.While harnessing the positive role of data capital as a crucial production factor to propel China's economic and social advancement through the development of productive forces,precautions must be taken against the wild growth and disorder expansion brought by its profit-seeking nature,ensuring it contributes actively within the framework of the socialist market economic system.

data capitaldigital labor forcedata commodities

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南京审计大学马克思主义学院

数据资本 数字劳动力 数据商品

教育部人文社会科学研究一般项目国家自然科学基金面上项目

21YJC71002572074118

2024

中国社会科学院大学学报
中国社会科学院研究生院

中国社会科学院大学学报

CHSSCD
影响因子:0.328
ISSN:2097-1125
年,卷(期):2024.44(7)
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