Does Scientific Writing Converge to U.S. English? Evidence from Generative AI-Assisted Publications

Fuente: arXiv
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Autori principali: Filimonovic, Dragan, Rutzer, Christian, Macher, Jeffrey, Weder, Rolf
Natura: Preprint
Pubblicazione: 2025
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author Filimonovic, Dragan
Rutzer, Christian
Macher, Jeffrey
Weder, Rolf
author_facet Filimonovic, Dragan
Rutzer, Christian
Macher, Jeffrey
Weder, Rolf
contents A growing literature documents that generative artificial intelligence (GenAI) is changing scientific writing, yet most studies focus on absolute changes in vocabulary or readability. An important question remains unanswered: Does GenAI use lead to systematic convergence, or a narrowing of stylistic gaps relative to the dominant form of scientific English? Unlike absolute changes, convergence signals whether language-related publication barriers are declining and suggests broader implications for participation and competition in global science. This study directly addresses this question using 5.65 million English-language scientific articles published from 2021 to 2024 and indexed in Scopus. We measure linguistic similarity to a U.S. benchmark corpus using SciBERT text embeddings, and estimate dynamic changes using an event-study difference-in-differences design with repeated cross-sections centered on the late-2022 release of ChatGPT. We find that GenAI-assisted publications from non-English-speaking countries exhibit statistically significant and increasing convergence toward U.S. scientific English, relative to non-GenAI-assisted publications from these countries. This effect is strongest for domestic author teams from countries more linguistically distant from English and for articles published in lower-impact journals -- precisely the contexts where language barriers have historically been most consequential. The results suggest that GenAI tools are reducing language-related barriers in scientific publications. Whether this represents genuine inclusion or a deepening dependence on a single linguistic standard remains an open question.
format Preprint
id arxiv_https___arxiv_org_abs_2511_11687
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Does Scientific Writing Converge to U.S. English? Evidence from Generative AI-Assisted Publications
Filimonovic, Dragan
Rutzer, Christian
Macher, Jeffrey
Weder, Rolf
Computers and Society
Computation and Language
A growing literature documents that generative artificial intelligence (GenAI) is changing scientific writing, yet most studies focus on absolute changes in vocabulary or readability. An important question remains unanswered: Does GenAI use lead to systematic convergence, or a narrowing of stylistic gaps relative to the dominant form of scientific English? Unlike absolute changes, convergence signals whether language-related publication barriers are declining and suggests broader implications for participation and competition in global science. This study directly addresses this question using 5.65 million English-language scientific articles published from 2021 to 2024 and indexed in Scopus. We measure linguistic similarity to a U.S. benchmark corpus using SciBERT text embeddings, and estimate dynamic changes using an event-study difference-in-differences design with repeated cross-sections centered on the late-2022 release of ChatGPT. We find that GenAI-assisted publications from non-English-speaking countries exhibit statistically significant and increasing convergence toward U.S. scientific English, relative to non-GenAI-assisted publications from these countries. This effect is strongest for domestic author teams from countries more linguistically distant from English and for articles published in lower-impact journals -- precisely the contexts where language barriers have historically been most consequential. The results suggest that GenAI tools are reducing language-related barriers in scientific publications. Whether this represents genuine inclusion or a deepening dependence on a single linguistic standard remains an open question.
title Does Scientific Writing Converge to U.S. English? Evidence from Generative AI-Assisted Publications
topic Computers and Society
Computation and Language
url https://arxiv.org/abs/2511.11687