title: Facts, opinions, assessment: Socially significant information, methods of its organization in the discourse of journalistic investigation
metadata.name: dc.contributor.author
metadata.value: Chernyshova, Tatiana V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2020-09-22T20:39:34Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2020-09-22T20:39:34Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2020-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Chernyshova, T.V. (2020). Facts, opinions, assessment: Socially significant information, methods of its organization in the discourse of journalistic investigation. Media Linguistics, 7 (3), 343– 356.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2020.306
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/19575
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article, based on texts created within the framework of the discourse of journalistic investigation and which became the subject of legal proceedings, analyses the methods of organizing and processing socially significant information: facts, opinions, and value judgments.
  The article also considers the ability to withdraw media texts containing facts and opinions
  from the zone of legal risk. Emphasis is given to a particular type of information ‒ information
  of a generalizing type, often perceived by readers and experts as information about facts, but
  essentially representing a journalist’s final opinion that is formed on an analysis of the total
  data studied in a journalistic investigation on information concerning the typical activities of a
  person or organization. The article is based on the research of modern legal linguistics, media
  linguistics, and stylistics of a text. The status of generalizing information is substantiated and
  ways of transforming factual information into generalizing information are revealed. Based
  on a comprehensive stylistic analysis of newspaper texts in the genre of journalistic investigation, two methods of transforming socially significant information (various combinations of
  facts, opinions, and value judgments) are identified. The first method is the translation of factual information gathered by a journalist from various sources into generalizing information
  that is verbalized in the final text (transformation model: fact — author’s generalized opinion
  based on the facts studied). The second method allows for transforming information on facts
  and evaluative statements of a single informant into a hypothetical generalized opinion, which
  readers should form after familiarizing themselves with the publication (transformation model:
  fact — a generalizing opinion (assessment) of the author is absent in the text, but it is implied).
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 7; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: journalistic investigation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: socially significant assessment
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: facts
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: opinions
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: generalized information
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: value judgments
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Facts, opinions, assessment: Socially significant information, methods of its organization in the discourse of journalistic investigation
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 343-356.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/19575/1/343-356.pdf
resources.format: Adobe PDF
resources.size: 1,15 MB