Job Satisfaction Through the Lens of Social Media: Rural--Urban Patterns in the U.S

Stefano M Iacus; Giuseppe Porro

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arXiv · 2512.05144

Job Satisfaction Through the Lens of Social Media: Rural--Urban Patterns in the U.S

Stefano M Iacus·Giuseppe Porro

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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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econ.GN cs.CY cs.SI q-fin.EC stat.AP

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Stefano M Iacus, Giuseppe Porro. 2025-12-02. Job Satisfaction Through the Lens of Social Media: Rural--Urban Patterns in the U.S. https://arxiv.org/abs/2512.05144

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