title: Vector variability of readers’ reactions in comments to news articles in online media
metadata.name: dc.contributor.author
metadata.value: Ivanova, Irina N.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-05-04T13:25:24Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-05-04T13:25:24Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Ivanova I. (2023). Vector variability of readers’ reactions in comments to news articles in online media. Media Linguistics, 10 (1), 27–46. https://doi.org/10.21638/spbu22.2023.102 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2023.102
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/41408
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article discusses readers’ comments to online news articles in terms of their orientation
  and specifics. On the one hand, readers’ comments could be directed at the source article,
  its content or form, and the personality of the politicians mentioned in the text. Another
  vector of communication arises between readers who react to previous readers’ comments,
  which might lead to multi-vector dialogues and even conflicts between participants in online
  communication. In addition, a new communication channel is openned when the original
  text becomes a trigger for presenting commenter’s own positions which is not related to the
  main topic of the publication. Data excerpted from four popular Bulgarian online media were
  processed by means of content analysis. Seventeen different types of readers’ comments were
  identified and discussed in terms of their direction, frequency of occurrence and potential
  for provoking further comments and sustaining discussion among readers. Analysis showed
  that there is no single classification of readers’ reactions, and their direction depends on a
  number of factors, such as the topic of message, its relevance, commenter’s attitude to the
  topic, the number, quality and direction of previous comments, and thereader’s emotional
  involvement. Most numerous are comments on article topic, followed by reactions to previous
  readers’ opinions. Significantly fewer are negative reactions to people’s mentality and other
  commentators’ opinions, and to the article quality. Comments on images accompanying
  the text, on individual polititians, politics in general, journalists, moderators, and topics not
  directly related to the article, have smaller or zero generating potential.
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 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: online media
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: readers’ reactions
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: communication vectors
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: comments’ generating potential
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Vector variability of readers’ reactions in comments to news articles in online media
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 27-42.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/41408/1/27-42.pdf
resources.format: Adobe PDF
resources.size: 677,55 kB