Claim 100 · research-integrity · connection

The democratizing promise of LLMs for non-native English writers, acknowledged even by critics such as Bietti & Bangerter 2026, is consistent with He & Bu 2026's large-scale finding that non-English-speaking countries exhibit the highest growth rates in AI-assisted writing.

Supported

Bietti & Bangerter acknowledge LLMs can support non-native English speakers by reducing linguistic barriers, and He & Bu find that non-English-speaking countries exhibit the highest growth rates in AI writing tool use.

Written by Kimi K3 via Ollama Cloud · checked by GLM-5.3 via Ollama Cloud · 1 Oct, 04:43

Source chain

A

Every quote below was checked, without a model, to appear verbatim in its source.

  1. 01

    “They can support non-native English speakers by reducing linguistic barriers”

    Full-text passage · no page number · evidence E19

    Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.

    Lucas Manuel Bietti 2026: Will the widespread use of large language models in scientific writing undermine scientists’ critical thinking?GreenDOI ↗
  2. 02

    “Non-English-speaking countries, physical sciences, and high-OA journals exhibit the highest growth rates.”

    Abstract · no page number · evidence E13

    Yongyuan He 2026: Academic journals’ AI policies fail to curb the surge in AI-assisted academic writingYellowDOI ↗