title: The representation of the science media image (exemplified by mediatexts of the regional online news publication 1obl.ru)
metadata.name: dc.contributor.author
metadata.value: Mamonova, Natalya V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-10-10T12:21:25Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-10-10T12:21:25Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Mamonova N. V. (2023). The representation of the science media image (exemplified by mediatexts of the regional online news publication 1obl.ru). Media Linguistics, 10 (3), 376–393. https://doi.org/10.21638/spbu22.2023.306 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2023.306
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/44196
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article is devoted to identifying a science media image speech representation’ features in the
  official online news publication of the Chelyabinsk region, covering the events of the industrial
  Russian region. The news media texts of the regional news portal 1obl.ru served as the object
  of the study, selected by systematic sampling, relevant to the keyword “science”. The specific
  formation of science media image is analyzed by frequency and infrequent content analysis.
  The analysis’ unit is the frequent lexemes of the text corpus relevant to the topic of science.
  To implement frequency content analysis, automatic semantic processing is used, which allows
  to identify discursive features, nuclear and peripheral semantic constructions of the concept,
  transmitting frequent patterns of behavior and cultural and value orientations. The Miratext
  automatic semantic analysis program is used as a toolkit. Infrequent content analysis provides
  for the definition of linguistic and cognitive mechanisms by which the media image of science is
  presented, emotional and value characteristics, as a result of which significant semantic components
  included in the structure of the concept “science” are determined and, moreover, checks
  the accuracy of entering into the semantic structures of the concept, eliminates statistical errors
  of automatic semantic analysis. The analysis of the material suggests that the media coverage of
  the region’s scientific potential, the emotional background and the connotations should be taken
  into account. This stimulates the involvement, interest and increases the literacy of the regional
  reader in the development of regional science, as well as raises the prestige of the region. The
  explanatory function of media publications contributes to the adoption of state priorities in the
  field of science and the consolidation of value orientations in the linguistic consciousness of the
  reader. The conclusions present the identified features of the South Ural’ science media image.
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 10; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: science
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: region
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: media discourse
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: media image
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: popularization of scientific knowledge
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: The representation of the science media image (exemplified by mediatexts of the regional online news publication 1obl.ru)
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 376-393.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/44196/1/376-393.pdf
resources.format: Adobe PDF
resources.size: 848,58 kB