The subject of this research is the transformation of the logic of production and the semantics of media content under the influence of artificial intelligence (AI) technologies in the context of converged editorial practices. The study focuses not on the technical aspects of AI implementation, but on its profound impact on the discursive and cognitive levels of media communication. It analyzes how AI, having evolved from a supportive tool to a technologically embedded agent, reshapes the processes of topic selection, text generation, narrative modes, and the organization of meaning. The key question is whether media discourse undergoes structural transformation when content is created as a result of human-machine collaboration or algorithmic management. Thus, the subject encompasses changes in the forms of media language, content structures, configurations of discursive power, as well as pragmatic functions and methods of meaning construction in a new technological environment. The research is based on theoretical analysis and synthesis of interdisciplinary approaches: media convergence theory, algorithmic power theory, media ecology, and posthuman perspectives in media studies. This methodological framework allows for the exploration of symbolic and ideological aspects of content production. The scientific novelty of the work lies in shifting the focus from the technical and economic analysis of AI's role in media to a critical examination of its discursive and cognitive consequences. Unlike prevailing studies, this work systematically considers AI not as a neutral tool but as an agent whose algorithmic logic, based on specific data and optimization goals, brings hidden value orientations and standardized patterns into media texts. As a result, it concludes that the introduction of AI in converged editorial practices leads to a profound transformation of media discourse logic. This is manifested in the templating of linguistic structures, the standardization of content temporality, and changes in the pathways of meaning generation. The study emphasizes the need to rethink the role of the human editor in the era of algorithmic co-authorship and raises key questions about the ethics of communication, the construction, and perception of meaning in the age of synthetic media.
Fei Chen (Thu,) studied this question.
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