Does Scientific Progress Affect Culture? A Digital Text Analysis

Michela Giorcelli, N. Lacetera, Astrid Marinoni
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引用次数: 1

Abstract

We study the interplay between scientific progress and culture through text analysis on a corpus of about eight million books, with the use of techniques and algorithms from machine learning. We focus on a specific scientific breakthrough, the theory of evolution through natural selection by Charles Darwin, and examine the diffusion of certain key concepts that characterized this theory in the broader cultural discourse and social imaginary. We find that some concepts in Darwin’s theory, such as Evolution, Survival, Natural Selection and Competition diffused in the cultural discourse immediately after the publication of On the Origins of Species. Other concepts such as Selection and Adaptation were already present in the cultural dialogue. Moreover, we document semantic changes for most of these concepts over time. Our findings thus show a complex relation between two key factors of long-term economic growth – science and culture. Considering the evolution of these two factors jointly can offer new insights to the study of the determinants of economic development, and machine learning is a promising tool to explore these relationships.
科学进步会影响文化吗?数字文本分析
我们使用机器学习的技术和算法,通过对大约800万本书的语料库进行文本分析,研究科学进步与文化之间的相互作用。我们专注于一个特定的科学突破,即查尔斯·达尔文通过自然选择的进化理论,并研究了在更广泛的文化话语和社会想象中表征该理论的某些关键概念的传播。我们发现,达尔文理论中的一些概念,如进化、生存、自然选择和竞争,在《物种起源》出版后立即在文化话语中传播开来。其他概念,如选择和适应,已经出现在文化对话中。此外,随着时间的推移,我们记录了大多数这些概念的语义变化。因此,我们的研究结果显示了长期经济增长的两个关键因素——科学和文化之间的复杂关系。综合考虑这两个因素的演变可以为研究经济发展的决定因素提供新的见解,而机器学习是探索这些关系的有前途的工具。
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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