Generative AI as a Linguistic Equalizer in Global Science

• URL: http://arxiv.org/abs/2511.11687v1
• Date: Wed, 12 Nov 2025 08:48:15 GMT
• Title: Generative AI as a Linguistic Equalizer in Global Science
• Authors: Dragan Filimonovic, Christian Rutzer, Jeffrey Macher, Rolf Weder,
• Abstract summary: We provide the first large-scale evidence testing whether generative AI (GenAI) acts as a linguistic equalizer in global science.<n>We compare GenAI-assisted and non-assisted publications from authors in non-English-speaking countries.<n>We find significant and growing convergence for GenAI-assisted publications after the release of ChatGPT in late 2022.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: For decades, the dominance of English has created a substantial barrier in global science, disadvantaging non-native speakers. The recent rise of generative AI (GenAI) offers a potential technological response to this long-standing inequity. We provide the first large-scale evidence testing whether GenAI acts as a linguistic equalizer in global science. Drawing on 5.65 million scientific articles published from 2021 to 2024, we compare GenAI-assisted and non-assisted publications from authors in non-English-speaking countries. Using text embeddings derived from a pretrained large language model (SciBERT), we measure each publication's linguistic similarity to a benchmark of scientific writing from U.S.-based authors and track stylistic convergence over time. We find significant and growing convergence for GenAI-assisted publications after the release of ChatGPT in late 2022. The effect is strongest for domestic coauthor teams from countries linguistically distant from English. These findings provide large-scale evidence that GenAI is beginning to reshape global science communication by reducing language barriers in research.

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