title: Medialinguistic approach to identifying characteristics of a social group (towards the methods of linguistic expertise of media text)
metadata.name: dc.contributor.author
metadata.value: Vasileva, Viktoria V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2019-12-04T11:07:37Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2019-12-04T11:07:37Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2019-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Vasileva, V. V. (2019). Medialinguistic approach to identifying characteristics of a social group (towards the methods of linguistic expertise of media text). Media Linguistics, 6(2), 230–241.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2019.207
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/16719
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The problem of qualifying features of the “social group” in the course of linguistic expertise
  is considered. This concept is the subject of scientific discussions in various fields of science
  and practice: in psychology, sociology and social philosophy, in the theory of law and
  judicial practice. This state of affairs makes it difficult to carry out a linguistic examination
  of texts when answering the question of the presence in the precedent text of certain speech
  actions committed “against persons allocated on the basis of belonging to a social group”.
  The difficulties faced by linguistic experts are fully understood by lawyers, both theorists
  and practitioners, as evidenced by the extensive research literature on the concept of “social
  group” in the context of article 282 of the criminal code. In expert linguistic practice, the
  problem of uncertainty discussed concepts could be partially solved by appeal to metalinguistically
  analysis. From the methodological principles of media linguistics as a scientific
  direction for this particular task of expert practice, the following are important: an activity
  approach to speech practice, mandatory consideration of the audience factor, recognition
  of the polycode of media text as its ontological feature. The article presents the fragments
  of two expert studies of the author of this article (case studies 1 and 2), which show that the
  formulated media-linguistic approach to the issue of the social group highlights the nature
  of the activity of precedent persons, which is perceived as a characteristic of a certain social
  group. Such activity can have a verbal representation in the media text, but more often it is
  given through heterogeneous components of the media text: shown (visualized) in images,
  implicitly indicated in the navigation tags.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The research was realized within the framework of the Russian Sciebce Foundation, research project No 19-18-000530.
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 6; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: linguistic expertise of media text
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: polycode
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: media linguistics
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: social group
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Medialinguistic approach to identifying characteristics of a social group (towards the methods of linguistic expertise of media text)
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 230-241.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/16719/1/230-241.pdf
resources.format: Adobe PDF
resources.size: 627,95 kB