Published December 24, 2024 | Version v1
Journal article Open

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

  • 1. University of Pennsylvania
  • 2. University of Chicago
  • 3. Hubei University

Description

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.

Data availability

The data for all regional variables are provided with this paper in the Open Science Framework (https://osf.io/mg39f/?view_only=2b6ec72006844ef3aaeafb37255b38c6) and upon request from the corresponding authors.

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Additional details

Identifiers

DOI
10.1057/s41599-024-04053-7
Other
oai:uchicago.tind.io:14317

Funding

University of Chicago
William Ladany Faculty Fellowship
National Institute on Minority Health and Health Disparities
R01MD018340
University of Pennsylvania
Penn Global Engagement Fund

UChicago Information

Division(s)
Booth School of Business
Department(s)
Behavioral Science