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

Fuente: arXiv
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Main Authors: Iacus, Stefano M, Porro, Giuseppe
Format: Preprint
Published: 2025
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author Iacus, Stefano M
Porro, Giuseppe
author_facet Iacus, Stefano M
Porro, Giuseppe
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2512_05144
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Job Satisfaction Through the Lens of Social Media: Rural--Urban Patterns in the U.S
Iacus, Stefano M
Porro, Giuseppe
General Economics
Economics
Computers and Society
Social and Information Networks
Applications
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.
title Job Satisfaction Through the Lens of Social Media: Rural--Urban Patterns in the U.S
topic General Economics
Economics
Computers and Society
Social and Information Networks
Applications
url https://arxiv.org/abs/2512.05144