Digital Communication and Multimodal Features: Functioning of Emoji in Interpersonal Communication

E. Koltsova, F. Kartashkova
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引用次数: 1

Abstract

Technical advances and digital means of communication have led to the development of digital semiotics which is characterised by its multimodality and abounds in paralinguistic elements such as emojis, emoticons, memes, etc. These extralinguistic elements serve as a compensatory mechanism in the new communication means. The increasing interest of users in various iconic signs and symbols generates the research interest in different fields of knowledge. The study aims to consider cognitive, semiotic and psycholinguistic features of emojis in interpersonal communication through analysing their functions in text messages and in social network messages. An attempt to reveal their persuasive mechanism is made. The research is based on a large scale dataset comprised of the private text messages as well as public posts on social networks which include verbal and nonverbal / iconic elements. The research data presents a multilingual bank of English, Russian and French sources. The research methods include context analysis, linguistic and pragmatic analysis and content analysis. The findings show that emojis in private interpersonal communication perform a number of functions, namely nonverbal, emotive, pragmatic, punctuation, substitutional, decorative and rhetorical functions. These iconic symbols incorporated in the interpersonal digital communication present a compensatory mechanism and the means of persuasion of a message addressee / recipient. The combination of verbal and iconic elements triggers a double focusing mechanism, and the perception is shaped by all cognitive mechanisms including rational and emotional, unconscious components.
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数字传播与多模式特征——表情符号在人际传播中的作用
技术进步和数字传播手段推动了数字符号学的发展,数字符号学以其多模态为特征,富含表情符号、表情符号、模因等副语言元素。这些语言外元素在新的传播手段中起到了补偿机制的作用。用户对各种标志性符号越来越感兴趣,产生了对不同知识领域的研究兴趣。本研究旨在通过分析表情符号在文本信息和社交网络信息中的功能,考虑表情符号在人际交往中的认知、符号和心理语言学特征。试图揭示它们的说服机制。这项研究基于一个大规模的数据集,该数据集包括私人短信以及社交网络上的公共帖子,其中包括言语和非言语/标志性元素。研究数据提供了一个由英语、俄语和法语来源组成的多语言库。研究方法包括语境分析、语言语用分析和内容分析。研究结果表明,表情符号在私人人际交往中具有非言语、情感、语用、标点符号、替代、装饰和修辞等多种功能。人际数字通信中包含的这些标志性符号提供了一种补偿机制和说服信息收件人/接收者的手段。言语和标志性元素的结合触发了双重聚焦机制,感知是由所有认知机制形成的,包括理性和情感、无意识成分。
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来源期刊
RUDN Journal of Language Studies, Semiotics and Semantics
RUDN Journal of Language Studies, Semiotics and Semantics Arts and Humanities-Language and Linguistics
CiteScore
1.20
自引率
0.00%
发文量
54
审稿时长
16 weeks
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