Centripetal Trend in Comments to News in Social Networks

N. Golev, Mariya Sushkina
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引用次数: 1

Abstract

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.
社交网络新闻评论的向心力趋势
本文考虑了网络评论中向心倾向与离心倾向的比例。研究的目的是描述评论在社交网络上发布的新闻文本的一致性。本文着重讨论了向心趋势的研究结果。该方法和方法论是基于社会网络中传播的自我发展性质的科学假设。根据这一假设,网络新闻讨论的主体性程度可以通过其评论文本传递到对话中。原新闻文本成为评论的基础,评论是一种以原新闻为中心的独立文本。因此,原文变成了一个复杂的分支网络。评论作为讨论响应的链或分支发展,可以对其进行分析。这项研究的特点是社交网络Vkontakte上的一段网络文本、评论和他们的心理地图。向心倾向与离心倾向的比值揭示了一定的规律:原文的一致性决定了评论的一致性。它们的相互关系模式显示了交际的自我发展特性如何创造了新的语言现象。这篇文章引起了互联网通信和社交网络专家的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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