title: Polycode text in digital communications of the university: Сontent, graphics, illustrations
metadata.name: dc.contributor.author
metadata.value: Shlyakhova, Svetlana S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kolesnik, Alina Yu.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-05-31T15:27:41Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-05-31T15:27:41Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2024-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Shlyakhova S. S., Kolesnik A. Yu. (2024). Polycode text in digital communications of the university: Сontent, graphics, illustrations. Media Linguistics, 11 (1), 53–75. https://doi.org/10.21638/spbu22.2024.104 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2024.104
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/45486
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article considers the structuring regularities of the polycode text functioning in the news
  feeds of the technical universities websites. The relevance of the research is due to the need for a
  linguistic description of various formats and genres of digital communication. The novelty of the
  research lies in the comprehensive analysis of the scientific news feed of technical universities.
  The purpose of the study is to analyze the verbal (verbal media topics, themes) and non-verbal
  (graphics, illustrations, visual media topics) components of a polycode text. The research methods
  are content analysis, graphical and semiotic analysis. The multidimensional characterization
  of the various components of the text of scientific content makes it possible to identify the
  thematic dominants of university content, as well as a system of paraverbal techniques for its
  design. The discourse analysis makes it possible to establish inter-semiotic relations that reflect
  the distribution of meaning at the level of the verbal and visual code of the text. The image of
  the technical university as a research structure in the relevant fields of science and production
  dominates at the level of verbal codes. Herewith, the scientist (as a person) is on the periphery,
  but it provides the research process. Visual media topic is dominated by the image of a male
  scientist (as a person), which is a more significant component in the structure of the scientific
  process than the process itself and the scientific community. The visual components of the text
  (graphics and illustrations) are distinguished by a narrow repertoire of techniques. The analysis
  of verbal and visual media topics showed a logical inversion. The visual code complements and
  compensates for the verbal code, and vice versa. These data are consistent with the established
  dominant function of illustrations in the news text: the function of a supplement.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Media Linguistics;Volume 11; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: science communication
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: polycode text
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: media topic
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: scientific illustration
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: digital communications
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Polycode text in digital communications of the university: Сontent, graphics, illustrations
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 53-75.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/45486/1/53-75.pdf
resources.format: Adobe PDF
resources.size: 720,88 kB