title: Semantic structure of clickbait headlines and internet user activities
metadata.name: dc.contributor.author
metadata.value: Zelianskaia, Natalia L.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Belousov, Konstantin I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Sychov, Oleg A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Galinskaia, Tatiana N.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-05-04T13:41:34Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-05-04T13:41:34Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Zelianskaia N. L., Belousov K. I., Sychov O. A., Galinskaia T. N. (2023). Semantic structure of clickbait headlines and internet user activities. Media Linguistics, 10 (1), 66–86. https://doi.org/10.21638/spbu22.2023.104 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2023.104
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/41410
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article explores the relation between clickability, measured in click-through rate (CTR)
  with the system of meanings the headline comprises. The authors apply graphic-semantic
  approach when analyzing headlines with reference to their variable clickability. The article
  describes a case reconstructing the system of meanings, represented by the news headlines
  in Russian cyberspace, taking into consideration the CTR as a popularity factor among the
  readers. The material of the study is 4900 headlines of Russian news media for May 2019, provided
  by the news aggregator SMI2. The authors consider clickbait headline as a standalone
  text, communicating information, related to the material they headline only indirectly. Based
  on these basic constituent features of the clickbait titles the researches revealed frequency distribution
  of semantic fields, representing the most popular meanings, communicated in the
  headlines to the news content in Russian mass media. Besides, having analyzed CTR values
  growth/decrease, the authors defined the most and the least popular semantic fields, indicating
  the most promising vectors for further development of the media space. The system
  of meanings transmitting concepts formed by media agents (publishing houses, journalists)
  turned out to be highly clichéd and based on manipulative rhetorical devices (fields “Russia”,
  “Headlines promising to give the answer in the article below, Speech activity”, “New and unexpected”).
  Performers (actants) and actions here assume a secondary position. Actual interests
  of the audience — news content readers — focus on such concepts as character, event and
  chronotope (fields “Celebrities”, “Putin, Incidents”, “News”, “Death”, “Donbas”, “Kazakhstan”,
  “Crimea”, etc.). CTR analysis also demonstrates the growth of the users’ self-awareness as active
  participants of the media environment, due to their interest to journalism and PR, since
  they no longer passive receptors, but more often experts able to evaluate events and interpret
  facts.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The work was carried out within the state task of the Ministry of Science and Higher Education of the
  Russian Federation (project no. FSNF-2020-0023).
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: clickbait headlines
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: semantic fields
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: news content
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Semantic structure of clickbait headlines and internet user activities
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 66-86.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/41410/1/66-86.pdf
resources.format: Adobe PDF
resources.size: 1,24 MB