Aug 2026· Bulletin of the National Technical University KhPI Series Actual problems of Ukrainian society development· 0 citations
TL;DR
It is argued that automated detection should not replace expert linguistic analysis but should serve as an auxiliary tool for evaluating the probable origin of a text in media linguistics, fact-checking, and educational practic.
Abstract
The article examines linguistic features of Ukrainian socio-political news texts generated by large language models and methods for their automated identification. The aim is to substantiate lexical, stylistic, compositional and semantic markers that may indicate AI-generated text and to outline a computational-linguistic detection framework. The study proposes combining philological interpretation with NLP procedures: preprocessing, lexical diversity assessment, clustering, vectorization and transformer-based classification. It is argued that automated detection should not replace expert linguistic analysis but should serve as an auxiliary tool for evaluating the probable origin of a text in media linguistics, fact-checking, and educational practic
It was concluded that texts generated by artificial intelligence constitute a separate linguistic phenomenon with its own set of characteristics, which requires a special typology and a flexible, updatable analysis methodology.
L. Kravets, Viktória Stefuca, N. Libak et al.· Computer and Decision Making...· 0 citations
The results demonstrate that linear discriminative models and appropriate lexical feature engineering can provide a very accurate and interpretable baseline for the development of natural language processing algorithms for Arabic.
Hamood Mohammed Alrumhi, Muhammad Asshad, A. A. Ahmed et al.· JOIV: International Journal...· 0 citations
Analysis of AIGC texts points out that the complexity of AI text primarily stems from its mechanism of selecting vocabulary based on probability distributions, which favors longer words, abstract nouns, and words with high semantic content, thereby forming a highly compact linguistic surface.
Lulu Chen· Lecture Notes on Language an...· 0 citations
The section concludes with formal problem specification: given vocabulary V and corpus C, semantic analysis is formalized as a mapping problem preserving distributional properties, an optimization problem minimizing loss through gradient-based methods, and an evaluation problem assessing quality through semantic simila...
D. Akhmedjanova· Международный Журнал Теорети...· 0 citations
Evaluating the effectiveness of existing systems for identifying AI-generated text in scientific papers calls into question the objectivity of current tools and emphasizes the need to develop specialized methods adapted to the scientific style of writing.
I. Savelev, A. Ivannikov, S. Solodov et al.· Physics of particles and nuc...· 0 citations
A statistically significant increase in lexical density and frequency of cohesive markers has been revealed, indicating an increase in information compression and explicit discursive organization of texts, consistent with characteristics described in AI-assisted writing studies.
T. Nedashkivska· Journal of Intelligent Decis...· 0 citations
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