中国科学院心理研究所机构知识库

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门新兴交叉学科逐渐兴起,大尺度、近乎全样本的文化心理分析真正得以实现。计算文化心理学关注的文化变量主要围绕个人主义/集体主义这一文化心理学使用最为广泛的维度展开,分析方法包括特征词典、机器学习、社会网络分析、仿真模拟等,分析思路包括时间维度上的文化变迁效应以及空间维度上的文化地理效应。当然,计算文化心理学在为传统文化心理研究提供新方法、新范式的同时,也存在解码失真、样本偏差、词语多义性、隐私风险等局限,未来研究应重视变量理论解释、文化动态演化分析、学科深度整合、生态效度等问题。

Abstract: 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.

国家社会科学基金重点项目(17AZD041)、一般项目(20BSH111);; 厦门大学校长基金(20720221017)支持