title: Digital ethics challengers in Russian and English media texts: Migrant discourse case study
metadata.name: dc.contributor.author
metadata.value: Komarova, Elena V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-08-14T10:36:22Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-08-14T10:36:22Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Komarova E. V. (2023). Digital ethics challengers in Russian and English media texts: Migrant discourse case study. Media Linguistics, 10 (2), 253–264. https://doi.org/10.21638/spbu22.2023.207 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2023.207
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/43756
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: With digital technologies penetrating all spheres of life, the problem of digital ethics has become
  one of the most perspective and widely researched tasks of modern science and linguistics
  in particular. Digitalization influences the processes of media communication, which
  requires development of certain ethical standards in virtual environment. The given study
  aims at analysing and comparing digital ethics in Russian and English media texts. Within the
  framework of this study, digital etiquette is seen as a continuation of speech etiquette aimed
  at neutralizing aggression towards vulnerable members of society in the online environment.
  Using a combination of methods, namely sentiment analysis and analysis of lexical associations,
  messages about migrants in social networks, forums, blogs, instant messengers and microblogs
  were analyzed. The sentiment orientation of the text was determined using an automatic
  text analysis program and subsequent linguistic expertise. For this study we collected
  social media data of 8,478,629 characters (VKontakte, Odnoklassniki, YouTube, etc.). For the
  analysis of English-language media texts, iWeb data on the input word migrant was collected.
  The total volume of the analyzed English-language Internet messages is 1,185,200 characters.
  Migrant discourse in Russian and English social media texts is polythematic. The results show
  that negative and neutral tone prevail in English media texts while in Russian there are neutral,
  positive and negative texts. In English media texts, there are messages expressing solidarity
  with migrants. At the same time, the problems of ethnic intolerance and religious stereotyping
  still require consideration and further development of regulatory tools.
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 10; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: digital ethics
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: media texts
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: migrant discourse
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: sentiment analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: sentiment orientation
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Digital ethics challengers in Russian and English media texts: Migrant discourse case study
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 253-264.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/43756/1/253-264.pdf
resources.format: Adobe PDF
resources.size: 1,21 MB