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dc.contributor.authorGrushevskaya, V.en
dc.date.accessioned2024-04-08T11:07:57Z-
dc.date.available2024-04-08T11:07:57Z-
dc.date.issued2022-
dc.identifier.citationГрушевская, ВЮ 2022, 'МОДЕЛЬ ФИЛЬТРАЦИИ ИНФОРМАЦИИВ СОЦИАЛЬНЫХ МЕДИА', The Journal of Social Policy Studies/Zhurnal Issledovaniy Sotsial'noy Politiki, Том. 20, № 3, стр. 393-406. https://doi.org/10.17323/727-0634-2022-20-3-393-406harvard_pure
dc.identifier.citationГрушевская, В. Ю. (2022). МОДЕЛЬ ФИЛЬТРАЦИИ ИНФОРМАЦИИВ СОЦИАЛЬНЫХ МЕДИА. The Journal of Social Policy Studies/Zhurnal Issledovaniy Sotsial'noy Politiki, 20(3), 393-406. https://doi.org/10.17323/727-0634-2022-20-3-393-406apa_pure
dc.identifier.issn1727-0634-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Bronze Open Access3
dc.identifier.otherhttps://jsps.hse.ru/article/download/16492/155101
dc.identifier.otherhttps://jsps.hse.ru/article/download/16492/15510pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/131545-
dc.description.abstractIn the digital civilization, artificial intelligence has a significant impact on the selection of information flows. The algorithms of social networks and search engines select content based on data about the interests and behavior of the user and the user's environment. However, the specific of mass com¬munications is determined not only by automated selection, but also by a complex set of media, advertising and market processes. The relevance of the article stems from the need to systematise knowledge describing the dis¬semination of mass-media content in the digital environment. Scientific lit¬erature is just beginning the digital media environment discuss. Few studies describe the principles of information dissemination in social media, methods of content promotion, new opportunities and the transformation of the media environment. The article systematises topical scientific publications describing the processes of information dissemination and filtering in online media, as well as the problems associated with them. The review of scientific literature is supplemented by questionnaire survey data as well as a series of in-depth interviews with Yekaterinburg youth representatives who regularly watch the content of popular video blogs. The data obtained allowed to identify a number of important social, cognitive and psychological factors of content selection at the stage of media consumption. The article records the commonality of discursive principles of entertainment content design dominant in video blogs with the mass discursive phenomena characteristic of the entertainment seg¬ment of traditional journalism. Such markers include playful, collaborations, heightened emotionality, provocation and presentationalism. The result is a model of information filtering in social media, including six levels: individual, technological, social, advertising, discursive and strategic. © 2022 National Research University Higher School of Economics. All rights reserved.en
dc.format.mimetypeapplication/pdfen
dc.language.isoruen
dc.publisherNational Research University, Higher School of Econoimicsen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceThe Journal of Social Policy Studies2
dc.sourceZhurnal Issledovanii Sotsial'noi Politikien
dc.subjectALGORITHMSen
dc.subjectCOMMUNICATIONen
dc.subjectMEDIA CONSUMPTIONen
dc.subjectRECOMMENDATION SYSTEMSen
dc.subjectSOCIAL MEDIAen
dc.titleTHE INFORMATION FILTERING MODEL IN SOCIAL MEDIAen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.rsi50104197-
dc.identifier.doi10.17323/727-0634-2022-20-3-393-406-
dc.identifier.scopus85148876365-
local.contributor.employeeGrushevskaya V., Department of Integrated Marketing Communications and Branding, FSAEI HE 'Ural Federal University Named after First President of Russia B.N. Yeltsin, Ekaterinburg, Russian Federationen
local.description.firstpage393-
local.description.lastpage406-
local.issue3-
local.volume20-
local.contributor.departmentDepartment of Integrated Marketing Communications and Branding, FSAEI HE 'Ural Federal University Named after First President of Russia B.N. Yeltsin, Ekaterinburg, Russian Federationen
local.identifier.pure33324850-
local.identifier.pure8c1f8b5a-eb66-42fd-89b3-62ab09f6bcfbuuid
local.identifier.eid2-s2.0-85148876365-
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