title: Reputationally damaging words in media discourses: How media distort Donald Trump’s image
metadata.name: dc.contributor.author
metadata.value: Mukhortov, D. S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Zhovner, E. A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-08-27T20:14:39Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-08-27T20:14:39Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2024-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Mukhortov D. S., Zhovner E. A. (2024). Reputationally damaging words in media discourses: How media distort Donald Trump’s image. Media Linguistics, 11 (2), 252–266. https://doi.org/10.21638/spbu22.2024.207
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2024.207
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/47370
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: This article discusses how US and UK liberal media slowly but surely created a skewed representation
  of 45th US President Donald Trump. Asserting that the media are biase and the
  images of Donald Trump in print media show political slant of the newspapers, the research
  analyzes partisan media and image portraying words therein. Usage labels enable identification
  of the ever-powerful lexical instrument used by the media to create a distorted image
  of the politician and manipulate the citizens; therefore, the paper aims to analyze evaluative
  lexical items used in media texts to mould required images of Donald Trump. The research
  examines the articles on Donald Trump’s key activities in early 2020 in the New York Times,
  the Washington Post, the Guardian, and the Independent. The methodological framework includes
  the data of the Corpus of Contemporary American English (COCA), which is evenly
  divided between the five genres of spoken discourse, fiction, popular magazines, newspapers,
  and academic journals. Analyzing words in terms of their usage frequency in each of these
  genres provides a clear picture of the target audience. The Macmillan English Dictionary for
  Advanced Learners provides the most precise and comprehensive classification of the style labels,
  including “formal”, “informal”, “literary”, “impolite”, “showing disapproval”, “journalism”,
  and “phrasal verbs”. This combination of the corpus-based approach and the dictionary-based
  approach resulted from the need to supplement the research with quantitative and qualitative
  data to study manifestations of political slant in the media holistically. Analyzing image portraying
  words in the media enables us to describe the key evaluative vocabulary, study Donald
  Trump’s profile and interpretations of his activities in the liberal media, identify political bias
  and distortion of facts in mass communications, and define new trends in journalism, medialinguistics,
  and political communication.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
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 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: portrayal
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: image portraying words
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: style labels
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: media bias
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: medialinguistics
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Reputationally damaging words in media discourses: How media distort Donald Trump’s image
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 07.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/47370/1/07.pdf
resources.format: Adobe PDF
resources.size: 638,23 kB