SEMANTIC SPACE AND ALGORITHM OF MEDIA TEXT`S CONSUMPTION IN DIGITAL SPACE

The article reveals an algorithm for creating news under the conditions of abundance of information; the use of this algorithm provides an increase in the audience attention to media texts. The problem of analyzing a media text semantic space and defining its linguocultural determinants is one of the leading themes in the digital era. The problem is associated with the educational process reform - from primary to higher education. When exposed to digital technologies, the forms of learning are changed dramatically, and the issues of cognitive perception and assimilation of information step forward. Nowadays, the priority is given to distance learning with the dominance of indirect communication in subject-subject and object-subject interaction. This type of learning is transformed into virtual communication (the use of computer and VR technologies), which takes place both in intrapersonal and person-to-person communication, and in the form of group and mass communications, which requires the interdisciplinary knowledge and new teaching methods. The study of media text semantics and structure regardless of the form of media content representation (speech, print, visual, multimedia, virtual), allows tracing the effectiveness of the information impact on perception and reflection of an individual, identifying the degree of his/her involvement. The study applies semantic analysis, indicating the need to predict integration of communicative effects and media text semantics at the preparatory stage, to increase final indicators of its cognitive impact on a recipient. The algorithm presented in the article is recommended for study when training journalists and other specialists in mass communications.