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LINGUISTIC FEATURES OF AI-GENERATED TEXTS AND METHODS FOR THEIR AUTOMATED IDENTIFICATION

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

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