Semiotic Organization of Russian Environmental Internet Memes

IF 0.2 0 HUMANITIES, MULTIDISCIPLINARY Nauchnyi Dialog Pub Date : 2023-12-07 DOI:10.24224/2227-1295-2023-12-9-184-206
E. V. Terentyeva, E. B. Pavlova
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Abstract

In this article, the authors examine Russian environmental internet memes, presented on social networks such as VKontakte, Odnoklassniki, and on websites like Memepedia, Pikabu, and A. Chistopashin’s site. They have developed a set of criteria relevant for the analysis of environmental internet memes as complex linguistic and semiotic formations. The aim of the study was to identify the specific features of the semiotic organization of environmental internet memes and establish the dominant semiotic code that determines the conceptual content of the meme. It is shown that the Russian-speaking segment of environmental communication through memes has its own thematic and genre specificity. Environmental internet memes usually rely on the use of media semiotic codes, where the meme includes both text and illustration. Less frequently, memes are created based on narrative semiotic codes, where the visual component illustrates the beginning, climax, or end of a story. The verbal component is dominant when borrowing viral visual templates. The main stylistic device in environmental internet memes, alongside irony and the effect of false expectation, is linguistic play. Semiotic analysis of internet memes has shown that the combination of verbal and visual signs is typical for the media segment of environmental internet communication.
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俄罗斯环境网络备忘录的语义组织
在这篇文章中,作者研究了在 VKontakte、Odnoklassniki 等社交网络以及 Memepedia、Pikabu 和 A. Chistopashin 网站等网站上展示的俄罗斯环境网络备忘录。他们制定了一套标准,用于分析作为复杂语言和符号形式的环境网络流行语。研究的目的是确定环境网络流行语符号组织的具体特征,并确定决定流行语概念内容的主导符号代码。研究结果表明,通过记忆体进行环境交流的俄语部分有其自身的主题和体裁特点。环境网络备忘录通常依赖于媒体符号代码的使用,其中备忘录包括文本和插图。比较少见的是,基于叙事符号代码创建的备忘录,其中的视觉部分展示了故事的开头、高潮或结尾。在借用病毒式视觉模板时,语言部分占主导地位。除了反讽和虚假期望的效果之外,语言游戏也是环境网络流行语的主要文体手段。对网络流行语的符号学分析表明,语言和视觉符号的结合是环境网络传播媒介的典型特征。
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来源期刊
Nauchnyi Dialog
Nauchnyi Dialog HUMANITIES, MULTIDISCIPLINARY-
CiteScore
0.10
自引率
0.00%
发文量
215
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