Abu Bakar, Ruhil Nadiah and Halim, Nurul Syafawani and Azmi, Sharina Salmi and Saleh, Noor Shahariah
(2026)
The ghost in the machine: can we still tell who’s writing?
Bulletin.
Universiti Teknologi MARA, Negeri Sembilan.
Abstract
As AI increasingly edits and polishes human writing toward an average standard, experts in forensic stylometry are utilizing math to track unique "linguistic fingerprints subconscious patterns like punctuation, sentence rhythm, and word choice to determine whether an individual's personal writing DNA remains visible.
Item Details
| Item Type: | Monograph (Bulletin) |
|---|---|
| Creators: | Creators Email / ID Num. Abu Bakar, Ruhil Nadiah UNSPECIFIED Halim, Nurul Syafawani UNSPECIFIED Azmi, Sharina Salmi UNSPECIFIED Saleh, Noor Shahariah UNSPECIFIED |
| Subjects: | P Language and Literature > P Philology. Linguistics > Language and education P Language and Literature > P Philology. Linguistics > Study and teaching. Research |
| Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus |
| Journal or Publication Title: | Buletin APB Seremban Edisi 16 |
| ISSN: | 2682-7948 |
| Keywords: | Stylometry, linguistic fingerprint, artificial intelligence, authorship analysis |
| Date: | June 2026 |
| URI: | https://ir.uitm.edu.my/id/eprint/144929 |
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