Human writing and machine patterns
Analyzing a decade of convergence
Bibliographic Data
| ID | 21443552 |
|---|---|
| Authors | Eunsuk Chang (0000-0002-1350-3606, Korea Air Force Academy, corresponding author) |
| Year | 2026 |
| Volume | 131 |
| Issue | 3 |
| Pages | 1635-1654 |
| Publication date | 2026-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-026-05589-y |
| OpenAlex | W7134243572 |
| Language | EN |
| References cited | 34 |
Convergence (economics) · Generative grammar · Perplexity · Reinforcement learning · Sentence · Stack (abstract data type) · Standardization · Authorship Attribution and Profiling · Language and cultural evolution · Topic Modeling
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AI models collapse when trained on recursively generated data
The impact of AI writing tools on the content and organization of students’ writing
The Pushshift Reddit Dataset
Diversity and Standards in Writing for Publication in the Age of AI—Between a Rock and a Hard Place
Examining the quality of the corresponding authorship field in Web of Science and Scopus
A Review of Interlanguage Syntax
The Type-Token Ratio and Vocabulary Performance
| Citation velocity | historical |
|---|---|
| Highly cited | No |