文化心理学中的大数据分析

M. Wu, Yunyun Mao, Shuhan Wu, J. Feng, Qingpeng Zhang, Tian Xie, Hao Chen, Tingshao Zhu
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引用次数: 0

摘要

随着大数据技术与文化心理学的融合发展,计算文化心理学作为一个新兴的跨学科研究领域应运而生,为大规模的文化分析提供了可能。计算文化心理学的关键变量主要是个人主义和集体主义,并利用大数据技术(如特征词典、机器学习、社会网络分析和模拟)从时间角度分析文化变迁效应,从空间角度分析文化地理效应。值得注意的是,尽管提供了新的方法和范式,但计算文化心理学仍存在一些局限性,包括解码失真、样本偏差、语义变异和隐私风险。在未来的发展方向上,应重视变量的理论解释、文化动态、跨学科整合和生态有效性。
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The big data analysis in cultural psychology
: With the integrated development of big data technology and cultural psychology, computational cultural psychology came into being as a novel interdisciplinary research field, which makes large-scale cultural analysis possible. The key variables of computational cultural psychology are mainly about individualism and collectivism, and the big data technologies (e.g., feature dictionaries, machine learning, social networks analysis, and simulation) have been used to analyze the cultural change effect from the temporal perspective and cultural geography effect from the spatial perspective. It should be noted that there are several limitations in Computational Cultural Psychology, including decoding distortion, sample bias, semasiological variation, and privacy risk, although new method and paradigm are provided. In future directions, theoretical interpretation of variables, cultural dynamics, interdisciplinary integration, and ecological validity should be seriously concerned.
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