Metaphtonymic Projections in Digital Multimodal Discourse

Q4 Environmental Science Journal of Siberian Federal University - Biology Pub Date : 2023-08-26 DOI:10.37482/2687-1505-v273
Elena Yu. Voyakina
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Abstract

This article analyses metaphtonymic projections implemented by small plot-based discursive forms in digital multimodal discourse. The research is carried out within the framework of the cognitivediscursive and anthropocentric scientific paradigms. This paper is relevant due to the wide distribution of the analysed discursive forms based on metaphtonymy in digital multimodal discourse and, accordingly, due to the need to study these forms in terms of their involvement in the interpretation of digital and objective reality and exerting a pragmatic impact on the recipient. The material for the analysis includes 250 small plot-based discursive forms, the most frequent being Internet memes selected from Russianand English-language sources of new media using the continuous sampling method. Based on the empirical material analysed, the most productive metaphtonymic projections were identified according to the multimodal metaphtonymy classification suggested by P. Pérez Sobrino. It was established that the most productive metaphtonymic projections in small plot-based discursive forms are parallel metonymic narrowing in the source and target domains of the metaphor and metaphtonymic scenarios. In addition, the study found that the metaphtonymic method of conceptual integration is a complex cognitive mechanism involved in the formation of plots, whose recognition requires a cognitive load associated with the decoding of components embedded in them. Interpretation of metaphtonymically organized discursive forms is provided by the cognitive process of comprehending the semantics of multicode structures of these discursive forms belonging to different semiotic systems, which are conditioned by contextual connections. Further research is seen in the analysis of the tropical organization of digital multimodal discourse with the identification of the most stable trope combinations.
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数字多模态语篇中的转喻投影
本文分析了数字多模态语篇中基于小情节的语篇形式所实现的转喻投射。该研究是在认知话语和人类中心科学范式的框架内进行的。本文之所以有意义,是因为本文分析的基于隐喻的语篇形式在数字多模态语篇中分布广泛,因此也需要研究这些语篇形式对数字和客观现实的解释以及对接受者产生的语用影响。用于分析的材料包括250种基于情节的小话语形式,最常见的是使用连续抽样方法从俄罗斯和新媒体的英语来源中选择的网络模因。在分析实证资料的基础上,根据P. psamrez Sobrino提出的多模态隐喻分类,确定了最具生产力的隐喻预测。研究发现,在基于小情节的语篇形式中,最有效的转喻投射是在隐喻的源域和目标域以及转喻场景中平行的转喻缩小。此外,本研究还发现,隐喻的概念整合方法是一种复杂的认知机制,涉及情节的形成,其识别需要与解码嵌入其中的成分相关的认知负荷。隐喻组织话语形式的解释是通过理解这些属于不同符号系统的话语形式的多码结构的语义的认知过程提供的,这些结构受语境联系的制约。通过对数字多模态语篇热带结构的分析,找到最稳定的修辞组合,可以看到进一步的研究。
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来源期刊
Journal of Siberian Federal University - Biology
Journal of Siberian Federal University - Biology Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
0.80
自引率
0.00%
发文量
8
审稿时长
24 weeks
期刊最新文献
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