Job Satisfaction Through the Lens of Social Media: Rural--Urban Patterns in the U.S
- URL: http://arxiv.org/abs/2512.05144v1
- Date: Tue, 02 Dec 2025 17:08:27 GMT
- Title: Job Satisfaction Through the Lens of Social Media: Rural--Urban Patterns in the U.S
- Authors: Stefano M Iacus, Giuseppe Porro,
- Abstract summary: We analyze a novel large-scale social-media-based measure of U.S. job satisfaction constructed by applying a fine-tuned large language model to 2.6 billion georeferenced tweets.<n> Logistic regressions show that rural counties consistently report lower job satisfaction sentiment than urban ones, but this gap decreases under tight labor markets.<n>In contrast to widening rural-urban income disparities, perceived job quality converges when unemployment is low, suggesting that labor market slack, not income alone, drives spatial inequality in subjective work-related well-being.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We analyze a novel large-scale social-media-based measure of U.S. job satisfaction, constructed by applying a fine-tuned large language model to 2.6 billion georeferenced tweets, and link it to county-level labor market conditions (2013-2023). Logistic regressions show that rural counties consistently report lower job satisfaction sentiment than urban ones, but this gap decreases under tight labor markets. In contrast to widening rural-urban income disparities, perceived job quality converges when unemployment is low, suggesting that labor market slack, not income alone, drives spatial inequality in subjective work-related well-being.
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