Verbal component types in conflict-generating Internet-memes: frequency and specificity

Q3 Arts and Humanities Voprosy Kognitivnoy Lingvistiki Pub Date : 2023-01-01 DOI:10.20916/1812-3228-2023-1-43-50
M. Latu
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Abstract

This article continues the series of studies devoted to the current problem of conflict Internet communication, the features of conflict-generating polycode texts and the issues of verbal and iconic representation of knowledge in their structure. In this regard, the primary goal is to establish the frequency of actualization of verbal component types used in the structure of graphic-verbal conflict polycode texts (Internet memes) of xenophobic nature, and their specificity in the representation of the content within the framework of the cognitive matrix “Friend or Foe”. The methods of content analysis, comparative analysis and quantification analysis were used to study the features of the verbal components and the language units in the considered polycode texts. It was determined that the most frequent verbal component types are “comment/statement”, “instruction”, “word/phrase-identifier”, less frequent are “dialogue situation”, “quote”, “definition of a concept”, “question/reflection”, “poetic text”. We paid attention to differences in the representation of knowledge and transmitted meanings of conflict nature by means of these types of verbal component. The results of the research may be applied in further studies devoted to the problem of verbal and iconic components correlating in polycode texts.
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产生冲突的网络模因的言语成分类型:频率和特异性
本文将继续一系列研究,致力于当前的冲突网络传播问题,产生冲突的多码文本的特征,以及知识在其结构中的口头和符号表示问题。在这方面,主要目标是确定仇外性质的图形-言语冲突多码文本(网络模因)结构中使用的言语成分类型的实现频率,以及它们在“朋友或敌人”认知矩阵框架内表征内容的特异性。采用内容分析、比较分析和量化分析的方法,研究了多码文本中言语成分和语言单位的特征。调查确定,最常见的言语成分类型是“评论/陈述”、“指示”、“词/短语标识符”,较少出现的是“对话情景”、“引用”、“概念定义”、“问题/反思”、“诗意文本”。通过这些类型的言语成分,我们注意到知识的表征和冲突性质的传递意义的差异。本研究结果可应用于多码文本中言语成分和符号成分相关问题的进一步研究。
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来源期刊
Voprosy Kognitivnoy Lingvistiki
Voprosy Kognitivnoy Lingvistiki Arts and Humanities-Language and Linguistics
CiteScore
0.50
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期刊介绍: Issues of Cognitive Linguistics (Voprosy Kognitivnoy Lingvistiki) is published under the auspices of the Russian Cognitive Linguists Association. It is an international peer-reviewed journal that provides a forum for linguistic research on topics which investigate the interaction between language and human cognition. The contributions focus on topics such as cognitive discourse analysis, phenomenology-based cognitive linguistic research, cognitive sociolinguistics, and cover such matters as mental space theory, blending theory, political discourse, cognitive stylistics, cognitive poetics, natural language categorization, conceptualization theory, lexical network theory, cognitive modeling. Issues of Cognitive Linguistics promotes the constructive interaction between linguistics and such neighbouring disciplines as sociology, cultural studies, psychology, neurolinguistics, communication studies, translation theory and educational linguistics.
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