Научная статья
https://doi.org/10.24412/2658-7335-2026-3-5
УДК 081
ТРАНСФОРМАЦИЯ ЯЗЫКОВЫХ ПРАКТИК В СЕТЕВОЙ ЛИТЕРАТУРЕ КАК РЕАКЦИЯ НА МАССОВОЕ ПОЯВЛЕНИЕ НЕЙРОСЕТЕВЫХ ТЕКСТОВ
Кайзер Б.А.
Кубанский государственный университет
Аннотация. В условиях интенсивного развития нейросетей исследователи фиксируют значительное изменение в области сетевой литературы, связанное как с возникновением многочисленных сгенерированных литературных текстов, так и с изменением языковых характеристик текстов, публикуемых авторами, противопоставляющими себя создателям генеративного контента. Появляются новые специфические тренды, связанные с подчеркиванием «человеческого» происхождения текста за счет намеренного внедрения в него стилистических и грамматических ошибок, нарушения композиции текста, изменения его стилистических характеристик. В статье изучаются основные тенденции изменения языковых характеристик литературных текстов, публикуемых на уровне современных сетевых литературных порталов.
Ключевые слова: нейросети, литература, сетевая литература, сгенерированные тексты, «человеческий» стиль.
Финансирование: инициативная работа.
Original article
TRANSFORMATION OF LINGUISTIC PRACTICES IN ONLINE LITERATURE AS A RESPONSE TO THE PROLIFERATION OF AI-GENERATED TEXTS
Beata A. Kaiser
Kuban State University
Abstract. The rapid development of neural network technologies has brought about significant changes in online literature. These changes are associated both with the growing number of AI-generated literary texts and with shifts in the linguistic characteristics of works published by authors who seek to distinguish themselves from creators of generative content. New specific trends are emerging that emphasize the «human» origin of a text through the deliberate introduction of stylistic and grammatical errors, disruptions of textual composition, and modifications of stylistic features. This article examines the major trends in the transformation of the linguistic characteristics of literary texts published on contemporary online literary platforms.
Keywords: neural networks, literature, online literature, AI-generated texts, «human» style.
Funding: Independent work.
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