title: Deviant behaviour in Internet communication: Diagnosis and prevention
metadata.name: dc.contributor.author
metadata.value: Starykh, Nina V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2021-01-21T10:51:26Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2021-01-21T10:51:26Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2020-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Starykh, N. V. (2020). Deviant behaviour in Internet communication: Diagnosis and prevention. Media Linguistics, 7 (4), 516–530.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2020.410
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/22605
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article discusses the forms of deviant speech behaviour in an online environment in
  various situational contexts. The approach proposed by the author represents a new level of understanding of the problem. So far, the vast majority of publications have been devoted to
  describing the phenomenon of network behaviour that deviates from accepted ethical standards.
  Considering the problem in the context of a situation that is characterized by clear role
  prescriptions, it becomes possible to identify the motives of the communicative behaviour of
  the participants. This, in turn, allows us to answer a question of a different level: how to correct
  the deviant behaviour of participants in network communities. The findings are based on
  representative empirical material collected in accordance with three sequential procedures. At
  the first stage, the most frequent semantic equivalents of the phrase “ethics and the Internet”
  were selected using the Google search engine web service. In the second stage, cases were
  selected that fell into the top of search results for search queries selected at the previous stage.
  At the third stage, the “snowball” method was used — a detailed search for information of
  the most common forms of deviant network behaviour. The author offers a classification of
  deviant behaviour by two types of factors: socio-psychological and institutional. Socio-psychological
  factors include dialogism and game motivation, which are actualized in the context
  of a virtual environment. When it comes to “serious” communities, UX designers should take
  care to reinforce the signs of NOT — gaming reality. Among the institutional factors, the most
  significant is the immaturity of the professional community of SMM — managers engaged in
  the promotion of goods and services on social networks. In this case, unfair competition takes
  place, which is qualified by Russian law.
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 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: internet communication
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: deviant speech behaviour
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: trolling
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: bot
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: fake
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Deviant behaviour in Internet communication: Diagnosis and prevention
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 516-530.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/22605/1/516-530.pdf
resources.format: Adobe PDF
resources.size: 676,72 kB