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THE INFORMATION FILTERING MODEL IN SOCIAL MEDIA

Электронный научный архив УРФУ

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Поле Значение
 
Заглавие THE INFORMATION FILTERING MODEL IN SOCIAL MEDIA
 
Автор Grushevskaya, V.
 
Тематика ALGORITHMS
COMMUNICATION
MEDIA CONSUMPTION
RECOMMENDATION SYSTEMS
SOCIAL MEDIA
 
Описание In 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.
 
Дата 2024-04-08T11:07:57Z
2024-04-08T11:07:57Z
2022
 
Тип Article
Journal article (info:eu-repo/semantics/article)
Published version (info:eu-repo/semantics/publishedVersion)
 
Идентификатор Грушевская, 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/10.17323/727-0634-2022-20-3-393-406
Грушевская, 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/10.17323/727-0634-2022-20-3-393-406
1727-0634
Final
All Open Access; Bronze Open Access
https://jsps.hse.ru/article/download/16492/15510
https://jsps.hse.ru/article/download/16492/15510
http://elar.urfu.ru/handle/10995/131545
50104197
10.17323/727-0634-2022-20-3-393-406
85148876365
 
Язык ru
 
Права Open access (info:eu-repo/semantics/openAccess)
 
Формат application/pdf
 
Издатель National Research University, Higher School of Econoimics
 
Источник The Journal of Social Policy Studies
Zhurnal Issledovanii Sotsial'noi Politiki