Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization

We used natural language processing to analyze a billion words to study cultural differences on Weibo, one of China’s largest social media platforms. We compared predictions from two common explanations about cultural differences in China (economic development and urban-rural differences) against the less-obvious legacy of rice versus wheat farming. Rice farmers had to coordinate shared irrigation networks and exchange labor to cope with higher labor requirements. In contrast, wheat relied on rainfall and required half as much labor. We test whether this legacy made southern China more interdependent, as measured by modern day language. Across all word categories, rice explained twice as much variance as economic development and urbanization. Rice areas used more words reflecting tight social ties, holistic thought, and a cautious, prevention orientation. We then used Twitter data comparing prefectures in Japan, which largely replicated the results from China. This provides crucial evidence of the rice theory in a different nation, language, and platform.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2024-12-24
DOI
https://doi.org/10.1057/s41599-024-04053-7
Citations
6
Primary Topic
Cultural Differences and Values
Type
article
Field-Weighted Citation Impact
3.86

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article

Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization

Sharath Chandra Guntuku, Salvatore Giorgi, Thomas Talhelm, Garrick Sherman et al.
6 citations
Humanities and Social Sciences Communications
Cultural Differences and Values
3.86
article

Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization

Sharath Chandra Guntuku, Salvatore Giorgi, Thomas Talhelm, Garrick Sherman, Lyle Ungar, Liuqing Wei, Angel Fan
article en
6 citations

Abstract

We used natural language processing to analyze a billion words to study cultural differences on Weibo, one of China’s largest social media platforms. We compared predictions from two common explanations about cultural differences in China (economic development and urban-rural differences) against the less-obvious legacy of rice versus wheat farming. Rice farmers had to coordinate shared irrigation networks and exchange labor to cope with higher labor requirements. In contrast, wheat relied on rainfall and required half as much labor. We test whether this legacy made southern China more interdependent, as measured by modern day language. Across all word categories, rice explained twice as much variance as economic development and urbanization. Rice areas used more words reflecting tight social ties, holistic thought, and a cautious, prevention orientation. We then used Twitter data comparing prefectures in Japan, which largely replicated the results from China. This provides crucial evidence of the rice theory in a different nation, language, and platform.

Humanities and Social Sciences CommunicationsVol. 11(1)
University of Chicago (US), Hubei University (CN), University of Pennsylvania (US)
University of Pennsylvania, National Institute on Minority Health and Health Disparities
Sustainable cities and communities
Openalex Percentile: Top 6%
Cultural Differences and Values
3.86
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