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Shifting 'AI Policy' Preprints and Citation Trends in the U.S., U.K and E.U., and South Korea (2015-2024)
October 18, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Simon Suh, Daniene Byrne
arXiv ID
2510.16477
Category
cs.DL: Digital Libraries
Cross-listed
cs.CY,
cs.SI
Citations
0
Venue
arXiv.org
Last Checked
3 months ago
Abstract
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.
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