CLSISOC-PHAug 29, 2023

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

arXiv:2308.15352v18 citationsh-index: 24
Originality Synthesis-oriented
AI Analysis

This research addresses the problem of understanding cultural differences for sociologists and linguists, providing evidence that historical agricultural practices have a stronger influence than modernization, though it is incremental in applying existing theories to new data.

The study analyzed a billion words from Weibo to test cultural differences in China, finding that historical rice farming patterns explained twice as much variance in language use as economic development and urbanization, with rice areas using more words reflecting tight social ties and holistic thought, and this pattern was replicated in Japan using Twitter data.

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.

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