The widespread adoption of large language model-assisted writing across society

This paper systematically analyzes the adoption of large language models (LLMs), such as ChatGPT, across consumer complaints, corporate press releases, job postings, and United Nations (UN) press releases, covering extensive datasets from January 2022 to September 2024. By late 2024, roughly 18% of financial consumer complaints, 24% of corporate press releases, nearly 10% of job postings in small firms, and 14% of UN press releases involve LLM-assisted writing. Adoption surged rapidly post-ChatGPT release but stabilized by 2024, highlighting generative artificial intelligence (AI)'s broad societal impact and its widespread use across sectors.

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Publication Details

Journal
Patterns
Published
2025-10-04
DOI
https://doi.org/10.1016/j.patter.2025.101366
Citations
7
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
17.37
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article

The widespread adoption of large language model-assisted writing across society

James Zou, Hancheng Cao, Jiayu Wang, Weixin Liang et al.
7 citations
Patterns
Topic Modeling
17.37
article

The widespread adoption of large language model-assisted writing across society

James Zou, Hancheng Cao, Jiayu Wang, Weixin Liang, Yaohui Zhang, Mihai Codreanu
article en
7 citations

Abstract

This paper systematically analyzes the adoption of large language models (LLMs), such as ChatGPT, across consumer complaints, corporate press releases, job postings, and United Nations (UN) press releases, covering extensive datasets from January 2022 to September 2024. By late 2024, roughly 18% of financial consumer complaints, 24% of corporate press releases, nearly 10% of job postings in small firms, and 14% of UN press releases involve LLM-assisted writing. Adoption surged rapidly post-ChatGPT release but stabilized by 2024, highlighting generative artificial intelligence (AI)'s broad societal impact and its widespread use across sectors.

PatternsVol. 6(12)
Emory University (US), University of Washington (US), Stanford University (US)
Openalex Percentile: Top 1%
Topic Modeling
17.37
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The widespread adoption of large language model-assisted writing across society — James Zou, Hancheng Cao, et al. · Patterns (2025) | TGRS Research Map | TGRS