Cited by 0Linguistic and Sociocultural StudiesMultilingual Education and PolicyNatural Language Processing Techniques

Code for "The shrinking landscape of linguistic diversity in the age of large language models"

Open access
Sourati, Zhivar·2026·Zenodo

Abstract

Code release for "The shrinking landscape of linguistic diversity in the age of large language models" (Nature Human Behaviour, 2026)

Integrity signals

Registry

DataCite · 10.5281/zenodo.21633456

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Emerging evidence shows measurable shifts in human writing styles, creative ideation, and divergent thinking following the widespread adoption of systems like ChatGPT.

    “Emerging evidence shows measurable shifts in human writing styles, creative ideation, and divergent thinking following the widespread adoption of systems like ChatGPT [46, 6, 7, 24, 44, 79].”

Authors
Sourati, Z.
Affiliations
University of Southern California (US)
Corresponding author
Sourati, Zhivar
Venue
Zenodo
Publisher
Zenodo
Published
2026-07-27
OpenAlex
W7171454600
Cited by
0
References
0
Type
software
Language
en
Open access
Locations
Zenodo (CERN European Organization for Nuclear Research)
Topics
  • Social Sciences › Linguistics and Language › Linguistic and Sociocultural Studies
  • Social Sciences › Linguistics and Language › Multilingual Education and Policy
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
linguistic diversity, large language models, endangered languages, language shift, language vitality

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review