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Big data insights into social macro trends (1800-2000): A replication study

机译:大数据洞悉社会宏观趋势(1800-2000):一项复制研究

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Seeking to advance a big data approach to social theory, Roth et al. (2017) applied the Google Ngram Viewer to explore the way the evolution of the function systems of the modern society is reflected in the Google Books corpus. The authors produced a highly counterintuitive finding that the modern Western societies cannot be adequately described as capitalist. In order to respond to the controversies raised by this finding, the present article replicates Roth et al. (2017) study while using a superior plotting software that allows to control the risk that keyword strength can be biased due to the neglect of keyword quantity. Covering the English-, French-, and German-language corpora, the present replication effort has confirmed the existence of distinct trends exhibited by the individual function systems, such as secularization, the persistent dominance of the political system, and the relatively lesser role of the economic system. These results are largely consistent with those of Roth et al. (2017) and thus lend credence to the authors' sceptical assessment of the validity of the capitalist semantics. The article concludes by pleading for the routinization of big data-driven checks of the modem social theories.
机译:Roth等人寻求将大数据方法推广到社会理论中。 (2017)应用Google Ngram Viewer来探索现代社会功能系统的演变在Google图书语料库中的体现方式。作者提出了一个非常违反直觉的发现,即现代西方社会不能被恰当地描述为资本主义。为了回应这一发现引起的争议,本文重复了Roth等人的文章。 (2017)的研究同时使用了高级绘图软件,该软件可以控制由于忽略关键字数量而使关键字强度出现偏差的风险。涵盖英语,法语和德语的语料库,目前的复制工作已经确认了各个职能系统所表现出的独特趋势,例如世俗化,政治体系的持续统治以及相对较小的作用。经济体系。这些结果与Roth等人的结果基本一致。 (2017年),因此使作者对资本主义语义学有效性的怀疑性评估可信。本文最后呼吁对大数据驱动的现代社会理论检查进行常规化。

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