{"title":"产生冲突的网络模因的言语成分类型:频率和特异性","authors":"M. Latu","doi":"10.20916/1812-3228-2023-1-43-50","DOIUrl":null,"url":null,"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.","PeriodicalId":53482,"journal":{"name":"Voprosy Kognitivnoy Lingvistiki","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Verbal component types in conflict-generating Internet-memes: frequency and specificity\",\"authors\":\"M. Latu\",\"doi\":\"10.20916/1812-3228-2023-1-43-50\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":53482,\"journal\":{\"name\":\"Voprosy Kognitivnoy Lingvistiki\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Voprosy Kognitivnoy Lingvistiki\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20916/1812-3228-2023-1-43-50\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Voprosy Kognitivnoy Lingvistiki","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20916/1812-3228-2023-1-43-50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Arts and Humanities","Score":null,"Total":0}
Verbal component types in conflict-generating Internet-memes: frequency and specificity
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.
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.