title: Linguistic means of constructing the image of a femalepolitician (on the example of the microblog twitter)
metadata.name: dc.contributor.author
metadata.value: Balakina, Julia Vladimirovna
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Tovkes, Mariya Yurevna
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2019-12-11T09:45:03Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2019-12-11T09:45:03Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2019-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Balakina J. V., Tovkes M. Yu. Linguistic means of constructing the image of a femalepolitician (on the example of the microblog twitter). Vestnik of Saint Petersburg University. Language and Literature. 2019, 16 (3): 381–399.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu09.2019.304
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/16778
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The presented research is devoted to the issues of ambiguous attitudes towards women’s participation
  in politics. The relevance of the study is explained by underrepresentation of women
  in the decision-making sphere. The presidential elections in the United States (2016) and Russia
  (2018), where women were registered as candidates, served as a newsbreak for discussing
  this issue in the media and social networks. The authors aimed at creating a stereotypical
  portrait of a female politician, constructed by various linguistic means. The material for the
  study constituted the entries of the microblog Twitter, published between January 1, 2017 and
  March 31, 2018, and selected by the keywords “female candidate”, “female politician”, and “female
  president”. The results of the qualitative content analysis of tweets were visualized using
  Gephi. The study revealed that the image of a female politician is constructed by the users
  of Twitter with the help of four groups of linguistic means, namely stylistic, lexico-semantic,
  syntactic and grapho-stylistic. Stylistic means are the most numerous group, marking, on the
  one hand, appearance, education, goodwill, and on the other — incompetence, poor upbringing, and other qualities of female politicians. Semantic spheres mark social roles of women
  politicians: bloggers discuss the problem of women’s representation in the highest echelons of
  power throughout the world, the combination of political career and family, self-realization
  in other spheres of public life, etc. The stereotypical portrait based on the data obtained emphasizes
  the users’ attitude to women’s participation in politics as controversial, combining
  traditional gender stereotypes and new egalitarian trends.
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: Vestnik of St Petersburg University. Language and Literature;Volume 16; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: gender linguistics
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: the image of a female politician
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: stylistic devices
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: microblog Twitter
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: semantic spheres
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Linguistic means of constructing the image of a femalepolitician (on the example of the microblog twitter)
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 381-399.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/16778/1/381-399.pdf
resources.format: Adobe PDF
resources.size: 3,49 MB