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Rural socioeconomic transformations mediated by AI

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  • Elvia María Jiménez Zapata
Abstract
Introduction: Artificial intelligence (AI) impacts rural dynamics, but its bibliometric study is limited. This paper analyzes academic production on AI and its socioeconomic impact in rural areas between 2019 and 2022. Methodology: A search was conducted in Scopus, Web of Science, and other databases using the terms "AI," "socioeconomic transformations," and "rural." The data was processed using Bibliometrix and VOSviewer to analyze productivity, collaboration networks, and keyword co-occurrence. Duplicates were removed, and filters were applied by year, document type, and thematic relevance. Results: A large number of relevant publications were identified, with an annual growth of a quarter. Thematic core topics included smart agriculture, the digital divide, and rural employment. The United States, China, and India led the scientific production. Conclusions: AI is emerging as an expanding field for rural development, but inequalities in access persist. Further studies on public policy and inclusion are needed.

Suggested Citation

Handle: RePEc:dbk:ethaic:v:4:y:2025:i::p:156:id:156
DOI: 10.56294/ai2025156
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