Centripetal Trend in Comments to News in Social Networks

The article considers the ratio of centripetal and centrifugal tendencies in online commenting. The research objective was to describe the consistency of comments to news texts published in social networks. This article focuses on the results obtained on the centripetal trend. The approach and metho...

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Main Authors: Nikolay D. Golev, Maria A. Sushkina
Format: Article
Language:English
Published: Kemerovo State University 2022-12-01
Series:Виртуальная коммуникация и социальные сети
Subjects:
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author Nikolay D. Golev
Maria A. Sushkina
author_facet Nikolay D. Golev
Maria A. Sushkina
author_sort Nikolay D. Golev
collection DOAJ
description The article considers the ratio of centripetal and centrifugal tendencies in online commenting. The research objective was to describe the consistency of comments to news texts published in social networks. This article focuses on the results obtained on the centripetal trend. The approach and methodology were based on the scientific hypothesis about the self-developing nature of communication in social networks. According to this hypothesis, the degree of subjectivity of online news discussion can be transmitted to the dialogue through the text of its comments. The original news text becomes the basis for comments, which are independent texts focused on the original news. As a result, the original text turns into a complex branched network. Comments develop as chains or branches of discussion responses, which can be analyzed. This research featured an Internet text from the Vkontakte social network, its comments, and their mental map. The ratio of centripetal and centrifugal tendencies revealed a certain pattern: the consistency of the original text determined the consistency of comments. The patterns of their correlation showed how the self-developing nature of communication created new linguistic phenomena. The article is of interest to specialists in Internet communication and social networks.
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spelling doaj.art-ae3dc1f07c7f442eabf3ae547324f2432024-04-11T03:54:56ZengKemerovo State UniversityВиртуальная коммуникация и социальные сети2782-47992782-48022022-12-011418519010.21603/2782-4799-2022-1-4-185-190Centripetal Trend in Comments to News in Social NetworksNikolay D. Golev0Maria A. Sushkina1Kemerovo State UniversityKemerovo State UniversityThe article considers the ratio of centripetal and centrifugal tendencies in online commenting. The research objective was to describe the consistency of comments to news texts published in social networks. This article focuses on the results obtained on the centripetal trend. The approach and methodology were based on the scientific hypothesis about the self-developing nature of communication in social networks. According to this hypothesis, the degree of subjectivity of online news discussion can be transmitted to the dialogue through the text of its comments. The original news text becomes the basis for comments, which are independent texts focused on the original news. As a result, the original text turns into a complex branched network. Comments develop as chains or branches of discussion responses, which can be analyzed. This research featured an Internet text from the Vkontakte social network, its comments, and their mental map. The ratio of centripetal and centrifugal tendencies revealed a certain pattern: the consistency of the original text determined the consistency of comments. The patterns of their correlation showed how the self-developing nature of communication created new linguistic phenomena. The article is of interest to specialists in Internet communication and social networks.social networksinternet textcommentscommentatorscentripetal trendcentrifugal trend
spellingShingle Nikolay D. Golev
Maria A. Sushkina
Centripetal Trend in Comments to News in Social Networks
Виртуальная коммуникация и социальные сети
social networks
internet text
comments
commentators
centripetal trend
centrifugal trend
title Centripetal Trend in Comments to News in Social Networks
title_full Centripetal Trend in Comments to News in Social Networks
title_fullStr Centripetal Trend in Comments to News in Social Networks
title_full_unstemmed Centripetal Trend in Comments to News in Social Networks
title_short Centripetal Trend in Comments to News in Social Networks
title_sort centripetal trend in comments to news in social networks
topic social networks
internet text
comments
commentators
centripetal trend
centrifugal trend
work_keys_str_mv AT nikolaydgolev centripetaltrendincommentstonewsinsocialnetworks
AT mariaasushkina centripetaltrendincommentstonewsinsocialnetworks