Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization
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Abstract (arXiv)
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. 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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 110 references that are in the map. First posted on arXiv 29 Aug 2023.
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References · 4
- 2018The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictionscited by 10
- 2020Studying Politeness across Cultures Using English Twitter and Mandarin Weibocited by 10
- 2019Studying Cultural Differences in Emoji Usage across the East and the Westcited by 8
- 2021Social Media Reveals Urban-Rural Differences in Stress across Chinacited by 5
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