Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： With the further development of computers and big data technology, human society and its cultural forms are undergoing profound changes. The production and interaction of cultural symbols have become increasingly complex, and cultural members and their social networks have left numerous texts and behavior footprints, which makes it necessary to describe, predict, and even change the culture, so that computable cultural symbols and their interaction process have gradually become the research object of cultural psychology. In this vein, Computational Cultural Psychology (CCP), which employs big data and computation tools to understand cultural symbols and their interaction processes, has emerges rapidly, making large-scale or even full sample cultural analysis possible. The key variables of CCP are mainly about individualism and collectivism, and the analysis technologies include feature dictionaries, machine learning, social networks analysis, and simulation.New research avenues of CCP involve the cultural change effect from the temporal perspective and cultural geography effect from the spatial perspective. For the former, Google Ngram Viewer, Google News, Google Search, name archives, pop songs, and micro-blogs were used to analyze the cultural changes after the long-term historical development and the short-term economic transformation. For the latter, both social media (e.g., Twitter, Facebook, and Weibo) and large-scale survey were used to analyze the cultural differences of various countries or regions in different geographic spaces, as well as the relationship between culture and environment, such as cultural diversity along the "Belt and Road", person - environment fit and cultural value mismatch across different regions in a country or all over the world.It should be noted that there are several limitations in CCP, including decoding distortion, sample bias, semasiological variation, and privacy risk, although new methods and paradigms are provided. In future directions, theoretical interpretation of variables, cultural dynamics, interdisciplinary integration, and ecological validity should be seriously concerned. In particular, accurate definition and theoretical interpretation of big data measurement are needed; a variety of big data corpus (e.g., historical archives) should be used for the evolutionary analysis of dynamic cultures; deep integration, but not conflict, should be encouraged between culture psychology and the sciences of computer, communication, and history; and the "scenarios" of big data should be considered in promoting the ecological validity of cultural psychology.Taken together, a review of the emergence of CCP, as well as the empirical research on the big data analysis of cultural change and cultural geography, is helpful in understanding the advantages, limitations, and future direction of this new field, which sheds light on theoretical and methodological innovation of cultural psychology.
Subjects: Psychology >> Social Psychology Subjects: Psychology >> Industrial Psychology submitted time 2022-11-07
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.
Peer Review Status:
Awaiting Review
Subjects: Psychology >> Psychological Measurement submitted time 2019-12-06
Abstract： This paper aims to review our recent studies using big data to unpack cultural values and their functions in response to social change and ecological geography. On social change, Google digitized books, social media, and literature corpus were used to demonstrate the cultural shift along with urbanization over past decades and economic recession in a short period. And on ecological geography, tweets or Sina micro-blogs were analyzed to examine the cultural diversity across Belt-Road societies, cultural value mismatch and wellbeing in rural versus urban areas in China, and air pollution and cultural adaption in Eastern versus Western cities in China. In addition, we recommend a combined use of traditional method and bid data, and the limitations and future directions are also discussed.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Psychological Measurement submitted time 2019-11-03
Abstract： Based on moral foundation theories, the present research was to validate Graham and colleagues’ (2009) moral foundations dictionary in the Chinese context. According to virtue and vice of morality, the reliability and inter-dimension correlation of 10 dimensions and five moral foundations (i.e., care, fairness, loyalty, authority, and purity) were tested. The results show a good reliability of each dimension and a moderate correlation between them. Taken together, the current study provides a reliable method for the work on morality in Chinese populations, and the structure and the criterion validity of the 10 dimensions should be tested in future directions."
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2018-05-09
Abstract： By using social media big data, this study explores the role of regional factors in the process of haze influence. Based on keyword frequency, we analyzed weibo original content of users from Beijing(Chaoyang district) and Chengdu, after delete hot events which greatly influence people’s emotion. We introduced of regulating variable (area) and found that there is interaction of areas and haze(PM2.5), haze positively related with negative emotion in Beijing and haze negatively related with negative emotion in Chengdu. There are regional differences in the influence of haze (PM2.5), which can be related to the lifestyle and historical culture of the two cities.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Social Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2018-03-15
Abstract： 理清“一带一路”沿线国家或地区的民心特点，并找到有效的合作交往模式，是关系到国家战略实施的重大问题。但是，由于地域辽阔、民族众多，且地缘政治、经济、文化因素（如原苏联影响、欧美国家殖民、宗教传统等）异常复杂，传统的分析方法往往难以奏效。该研究结合文化心理学和大数据分析技术，利用社交媒体Twitter数据来分析“一带一路”沿线国家或地区的自我表征特点（独立性或个人主义），并建立自我表征与社会信任（普遍信任、特殊信任）的预测模型，以探究与“一带一路”沿线国家或地区合作交往的行为模式，即：自我表征是独立，还是互依；人际关系偏好是陌生人之间的普遍信任，还是熟人间的特殊信任。结果表明，“一带一路”沿线国家或地区在自我独立性这一个人主义文化指标上存在较大的变异，且主要受欧美国家殖民历史和当地宗教传统的影响；此外，针对陌生人、外国人的普遍信任与针对家人、熟人的特殊信任，可以通过个人主义指标来预测。总之，“一带一路”沿线的文化是多样的，可以通过社交媒体产生的海量语料库快速计算其个人主义指标，并以此来建立自我表征与社会信任的预测模型。该研究为分析“一带一路”战略区域的“民心”特点、探索当地合作交往的行为模式提供了新的技术路径。
Peer Review Status:Awaiting Review
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