Shifting 'AI Policy' Preprints and Citation Trends in the U.S., U.K and E.U., and South Korea (2015-2024)

Fuente: arXiv
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Main Authors: Suh, Simon, Byrne, Daniene
Format: Preprint
Published: 2025
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_version_ 1866909856090292224
author Suh, Simon
Byrne, Daniene
author_facet Suh, Simon
Byrne, Daniene
contents This study of literature focusing on 'AI Policy' over the past decade, found that citations of preprints, publications on platforms such as arXiv, have increased from five percent to forty percent across three major regions: the U.S., U.K. & E.U., and South Korea. We compare regional responses of preprint citations across the global disruptions of COVID-19 and the release of ChatGPT. We discuss driving factors and risks of preprint normalization, which follows the trend in computer science.
format Preprint
id arxiv_https___arxiv_org_abs_2510_16477
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Shifting 'AI Policy' Preprints and Citation Trends in the U.S., U.K and E.U., and South Korea (2015-2024)
Suh, Simon
Byrne, Daniene
Digital Libraries
Computers and Society
Social and Information Networks
This study of literature focusing on 'AI Policy' over the past decade, found that citations of preprints, publications on platforms such as arXiv, have increased from five percent to forty percent across three major regions: the U.S., U.K. & E.U., and South Korea. We compare regional responses of preprint citations across the global disruptions of COVID-19 and the release of ChatGPT. We discuss driving factors and risks of preprint normalization, which follows the trend in computer science.
title Shifting 'AI Policy' Preprints and Citation Trends in the U.S., U.K and E.U., and South Korea (2015-2024)
topic Digital Libraries
Computers and Society
Social and Information Networks
url https://arxiv.org/abs/2510.16477