A machine learning model of cultural change: role of prosociality, political attitudes, and Protestant work ethic

What attitudes, values, and beliefs serve as key markers of cultural change? To answer this question, we examined 221,485 respondents from the World Values Survey, a multiwave cross-country survey of people's attitudes, values, and beliefs. We trained a machine learning model to classify respon...

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Main Authors: Sheetal, Abhishek, Savani, Krishna
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/162504
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1625042023-05-19T07:31:18Z A machine learning model of cultural change: role of prosociality, political attitudes, and Protestant work ethic Sheetal, Abhishek Savani, Krishna Nanyang Business School Business::Management Cultural Change Gradient Boosting What attitudes, values, and beliefs serve as key markers of cultural change? To answer this question, we examined 221,485 respondents from the World Values Survey, a multiwave cross-country survey of people's attitudes, values, and beliefs. We trained a machine learning model to classify respondents into seven waves (i.e., periods). Once trained, the machine learning model identified a separate group of 24,611 respondents' wave with a balanced accuracy of 77%. We then queried the model to identify the attitudes, values, and beliefs that contributed the most to its classification decisions, and therefore, served as markers of cultural change. These included religiosity, social attitudes, political attitudes, independence, life satisfaction, Protestant work ethic, and prosociality. Although past research in cultural change has discussed decreasing religiosity and increasing liberalism and independence, it has not yet identified Protestant work ethic, political orientation, and prosociality as values relevant to cultural change. Thus, the current research points to new directions for future research on cultural change that might not be evident from either a deductive or an inductive approach. This research illustrates that the abductive approach of machine learning, which focuses on the most likely explanations for an outcome, can help generate novel insights. Public Significance Statement: This research found that in recent years, people around the world have been becoming less religious and more liberal in their social attitudes and political orientation. People have been valuing independence more, although there appears to be a decline in the value of independence in the last few years. The extent to which people emphasize hard work, thrift, and prosociality has also declined in recent years. 2022-10-26T00:47:16Z 2022-10-26T00:47:16Z 2021 Journal Article Sheetal, A. & Savani, K. (2021). A machine learning model of cultural change: role of prosociality, political attitudes, and Protestant work ethic. American Psychologist, 76(6), 997-1012. https://dx.doi.org/10.1037/amp0000868 0003-066X https://hdl.handle.net/10356/162504 10.1037/amp0000868 34914435 2-s2.0-85122844742 6 76 997 1012 en American Psychologist © 2021 American Psychological Association. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Business::Management
Cultural Change
Gradient Boosting
spellingShingle Business::Management
Cultural Change
Gradient Boosting
Sheetal, Abhishek
Savani, Krishna
A machine learning model of cultural change: role of prosociality, political attitudes, and Protestant work ethic
description What attitudes, values, and beliefs serve as key markers of cultural change? To answer this question, we examined 221,485 respondents from the World Values Survey, a multiwave cross-country survey of people's attitudes, values, and beliefs. We trained a machine learning model to classify respondents into seven waves (i.e., periods). Once trained, the machine learning model identified a separate group of 24,611 respondents' wave with a balanced accuracy of 77%. We then queried the model to identify the attitudes, values, and beliefs that contributed the most to its classification decisions, and therefore, served as markers of cultural change. These included religiosity, social attitudes, political attitudes, independence, life satisfaction, Protestant work ethic, and prosociality. Although past research in cultural change has discussed decreasing religiosity and increasing liberalism and independence, it has not yet identified Protestant work ethic, political orientation, and prosociality as values relevant to cultural change. Thus, the current research points to new directions for future research on cultural change that might not be evident from either a deductive or an inductive approach. This research illustrates that the abductive approach of machine learning, which focuses on the most likely explanations for an outcome, can help generate novel insights. Public Significance Statement: This research found that in recent years, people around the world have been becoming less religious and more liberal in their social attitudes and political orientation. People have been valuing independence more, although there appears to be a decline in the value of independence in the last few years. The extent to which people emphasize hard work, thrift, and prosociality has also declined in recent years.
author2 Nanyang Business School
author_facet Nanyang Business School
Sheetal, Abhishek
Savani, Krishna
format Article
author Sheetal, Abhishek
Savani, Krishna
author_sort Sheetal, Abhishek
title A machine learning model of cultural change: role of prosociality, political attitudes, and Protestant work ethic
title_short A machine learning model of cultural change: role of prosociality, political attitudes, and Protestant work ethic
title_full A machine learning model of cultural change: role of prosociality, political attitudes, and Protestant work ethic
title_fullStr A machine learning model of cultural change: role of prosociality, political attitudes, and Protestant work ethic
title_full_unstemmed A machine learning model of cultural change: role of prosociality, political attitudes, and Protestant work ethic
title_sort machine learning model of cultural change: role of prosociality, political attitudes, and protestant work ethic
publishDate 2022
url https://hdl.handle.net/10356/162504
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