数学作为现代社会的操纵工具。凯西·奥尼尔的书评《数学毁灭武器》。大数据如何加剧不平等并威胁民主

Cory Maloney
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引用次数: 16

摘要

文章重点分析了随着信息技术的发展,大数据现象已经成为社会学和社会统计学面临的挑战。介绍了“大数据”一词的起源历史,确定了这一现象产生和发展的因素。值得注意的是,从社会学的角度来看,大数据不仅改变了获取原始社会学信息的方法,而且改变了研究的逻辑。作者认为,在大数据的帮助下,社会学将能够回归到它的使命——创建一个大的社会理论,而这反过来又有机会分析和解释大数据。重点放在凯西·奥尼尔的著作《大数据》上。《数学毁灭武器》一书的结论是,大数据在当代世界构建了新的不平等形式。强调的是,通过这一思想的焦点,美国研究人员分析了大数据对公共生活各个领域的影响:对教育系统的影响,强调大学排名(其定义并不总是透明的)在高等教育商业化中的作用,它变成了大生意;关于执法系统,特别是在美国这样的国家,注意到为该国警察开发的数学模型有歧视穷人和“有色人种”公民的理由;论用人制度、信用制度等。与此同时,她写道,由于大数据隐私正在从人们的生活中消失,人们越来越多地适应大众行为模式,受到消费者和政治(尤其令人担忧的)营销的影响。该出版物的作者指出,不幸的是,凯茜·奥尼尔没有回答如何可能抵消大数据的操纵效应的问题。她严重依赖道德监管机构,并建议数据专家创建具有强制性前向联系的模型。
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Mathematics as a Tool of Manipulation in Modern Society. Review of the book by Cathy O’Neil «Weapons of Math Destruction. How Big Data Increases Inequality and Threatens Democracy»
The article focuses on the analysis of big data phenomenon that by the expansion of information technology has become a challenge for sociology and social statistics. The history of «big data» term origins is presented, the factors of appearance and development of this phenomenon are determined. It is noted that in the sociological perspective big data have not only transformed the methods of obtaining primary sociological information, but also changed the very logic of the study. The author considers that with a help of big data sociology will be able to return to its calling – the creation of a large theory of society, which, in turn, the opportunity to analyze and interpret big data depends on. Emphasis is placed on Cathy O'Neil’s work «Big data. Weapons of Math Destruction…», which concludes that big data construct new forms of inequality in a contemporary world. It is stressed that through the focus of this idea the American researcher analyzes the impact of big data on various spheres of public life: on the educational system, emphasizing the role of university rankings (which definition is not always transparent) in commercialization of higher education, its turning into big business; on the law enforcement system, in particular in a country such as the United States, noting that the mathematical models developed for the country's police have discrimination grounds for poor and «colored» citizens; on the system of employment, credit system, etc. At the same time, she writes that because of big data privacy is disappearing in people's lives, they are increasingly adapting to models of mass behavior, being under the influence of consumer and political (what is especially alarming) marketing. The author of the publication notes that Cathy O'Neil, unfortunately, gives no answer to the question of how it is possible to counteract the manipulative effects of big data. She relies heavily on ethical regulators and recommends to data specialists create models with mandatory forward linkages.
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