Features of media text in the era of artificial intelligence

Abstract

In the field of text linguistics, which developed primarily in the second half of the twentieth century, a coherent concept was formed that views a literary text as an integral work characterized by such categories as cohesion, coherence, and the linear sequence of meaning verbalization. This theory laid the foundation for an independent area of study – media text analysis – which focuses on specific characteristics determined by the channels through which information is transmitted to a mass audience. A newspaper text is predominantly verbal; radio adds an auditory component, while television is marked by the syncretism of verbal, auditory, and visual elements. Nevertheless, all publications of traditional media are, in terms of structure, classical linear texts. The digital revolution in media has fostered the emergence of a fundamentally new type of text – nonlinear text, which dominates Internet communication. The network text functions as a hypertext with fluid boundaries and nonlinear transmission of meaning due to active hyperlinks that enable readers to navigate and structure content at their discretion. The virtual revolution, in turn, has led to the rise of generative text, created by artificial intelligence and likewise departing from the classical linear model. Consequently, there arises a need for a new typology of media texts. The author distinguishes between the classical text and the post-classical text of the digital era, identifying their differentiating features that form the basis of the proposed typology of texts in contemporary media communication.