title: Framing of pre-election political situation in the Telegram channel discourse
metadata.name: dc.contributor.author
metadata.value: Kushneruk, Svetlana L.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2022-11-15T09:33:42Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2022-11-15T09:33:42Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2022-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Kushneruk S. L. (2022). Framing of pre-election political situation in the Telegram channel discourse. Media Linguistics, 9 (3), 220–236. https://doi.org/10.21638/spbu22.2022.304 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2022.304
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/38570
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The paper aims, within the cognitive-discursive paradigm, at analyzing framing of one of the
  major political events in 2020 — the election of the President in Belarus, covered in the discourse
  of a Telegram channel. The author focuses on identifying mechanisms of destructive
  influence exerted on mass subscribers of a cross-platform messenger during a pre-election
  period. The objective of the research is to systematize and analyze frames that generate meanings
  that should influence Belarusian voters. In theoretical terms, the study is based on the
  provisions crucial for Linguistics of information and psychological war and Framing theory.
  The material for the analysis presents a selection of 2173 messages, posted in an oppositional
  telegram channel within three months (from May 8 till August 8, 2020). The sociological understanding
  of frame structures is important for the research. Its methodological implications
  are discussed. The interpretation of strategic framing is developed to suit the aim of the
  research and establish its role in consolidating protest sentiments and obtaining a planned
  political response from the mass addressee. The key themes and issue-specific frames are reconstructed
  to reveal how interpretive schemas model the pre-election political world. The
  thematic field “the Belarussians” is characterized from the point of view of three functional
  varieties of frames — diagnostic, prognostic and motivational. It is argued that posts in the opposition
  discourse channel have a mobilization potential, directed at subscribers with the aim
  of discrediting the official government. The research contributes to the theory of the language
  of information war and ensures the interests of Russian state politics in the field of information
  security and prevention of any aggression.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The research was funded by the Russian Foundation for Basic Research and EISR according to the
  research project no. 21-011-31014 “Communicative support of anti-government demonstrations in Belarus
  in 2020 (the case of the opposition channels of the Telegram messenger)”.
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 9; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: strategic framing
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: frame
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: telegram channel
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Belarus 2020
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: media linguistics
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Framing of pre-election political situation in the Telegram channel discourse
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 220-236.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/38570/1/220-236.pdf
resources.format: Adobe PDF
resources.size: 677,45 kB