Big Data in the Context of Studying Problems of Modern Society

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引用次数: 2

Abstract

The article is devoted to the analysis of the social consequences of the rapid dissemination of big data that gradually leads to the formation of a new phase of the evolutionary development of civilization - a datafied society. It is shown that the main factor in social transformations is datafication, which involves the transition to a quantitative form (into “data”) of all phenomena and aspects of the world around us, even those that were previously understood as purely “qualitative”, not quantifiable: human actions, relationships, desires, moods, etc. In this context, the interpretation of “data” is changing, they cease to be what is given, what exists independently of anything. Today, data is “produced”, “extracted” from social life. Moreover, their production is determined by two factors: 1) the external infrastructure with which they are collected, processed and stored; 2) the specifics of generating their value, including primarily monetization, and in addition, means of state control, cultural production, and civic opportunities. Today, more and more people are talking about the development of a new area of ​​intelligent data analysis, called “life mining”, which means extracting patterns from combined digital footprints left by people on the Internet and predicting real results based on them: future actions and emotional states; restoration of missing information, for example, personal information that a person would not want to make public. The existence of “life mining” tools and their wider application leads to the massive appropriation of social life by those who possess big data, to the formation of the phenomenon of data dictatorship. In this regard, there is an urgent need to involve sociologists in discussions concerning the social consequences of big data, as well as in predicting the possible ways for society to develop, since without this, resistance to those who want to establish a data dictatorship and create a society of unprecedented supervision and control is impossible.
现代社会问题研究背景下的大数据
本文致力于分析大数据的快速传播所带来的社会后果,它逐渐导致了文明进化发展的一个新阶段——数据化社会的形成。研究表明,社会转型的主要因素是数据化,这涉及到我们周围世界的所有现象和方面的定量形式(转化为“数据”),甚至那些以前被理解为纯粹“定性”的,不可量化的:人类行为,关系,欲望,情绪等。在这种情况下,对“数据”的解释正在发生变化,它们不再是给定的东西,不再是独立于任何事物而存在的东西。今天,数据是从社会生活中“生产”、“提取”出来的。此外,它们的生产是由两个因素决定的:1)收集、加工和储存它们的外部基础设施;2)创造其价值的具体方式,主要包括货币化,此外还有国家控制手段、文化生产和公民机会。如今,越来越多的人在谈论智能数据分析的一个新领域的发展,称为“生活挖掘”,即从人们在互联网上留下的数字足迹组合中提取模式,并据此预测真实结果:未来的行为和情绪状态;恢复丢失的信息,例如,一个人不想公开的个人信息。“生活挖掘”工具的存在和广泛应用,导致大数据拥有者对社会生活的大量占用,形成了数据专政的现象。在这方面,迫切需要社会学家参与讨论大数据的社会后果,以及预测社会发展的可能方式,因为没有这一点,抵制那些想要建立数据独裁统治并创造一个前所未有的监督和控制社会的人是不可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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