title: Textual manifestations of social network user frustration
metadata.name: dc.contributor.author
metadata.value: Kuznetsova, Yuliya M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kuruzov, Ilya A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Smirnov, Ivan V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Stankevich, Maxim A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Starostina, Elena V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Chudova, Natalia V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2020-04-28T17:37:39Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2020-04-28T17:37:39Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2020-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Kuznetsova, Y. M., Kuruzov, I. A., Smirnov, I. V., Stankevich, M. А., Starostina, E. V., Chudova, N. V. (2020). Textual manifestations of social network user frustration. Media Linguistics, 7 (1), 4–15.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2020.101
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/17427
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The work is devoted to the identification of differentiating textual signs of frustration as a
  reaction to subjective inability to satisfy a need. The linguistic realization of frustration in
  the texts of network communication is considered as emotive speech and is a useful tool for
  diagnosing emotional well-being both at the individual and at the group level. The data of a
  psycholinguistic empirical study carried out using the methods of artificial intelligence are
  presented. Texts of 100 social networks users were analyzed: posts and comments had been
  written in different emotional states — while calm and in frustration. Texts were processed
  using a linguistic analyzer that can automatically detect 177 text parameters. Clustering on
  the basis of changes caused by frustration in the measured text characteristics revealed the
  existence of two clusters of users. The first cluster encompasses people whose texts, under the
  influence of frustration, reveal an increase in the proportion of singular past tense verbs, 1st
  person verbs, and 1st person pronouns, the frequency of “pronouns-nouns,” the coefficient of
  action objectification (number of verbs relative to the number of nouns) and the number of
  punctuation marks relative to the number of words. The second cluster includes people whose
  texts reveal an increase in the frequency of nouns and words in the semantic role of predicate,
  and for the average word length, but a decrease for indicators from the first cluster. It is concluded
  that there are two linguistic patterns of frustration response: the “story about one’s own
  actions” and the “story about the case circumstances.”
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The article was prepared with partial financial support of the Russian Foundation for Basic Research (RFBR), project No. 17-29-02247.
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 7; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: frustration
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: social networks
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: text mining
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: clustering
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: linguistic markers
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Textual manifestations of social network user frustration
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 4-15.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/17427/1/4-15.pdf
resources.format: Adobe PDF
resources.size: 630,32 kB