模因论下网络暴力语言生成机制及特征研究
Research on the Generation Mechanism and Characteristics of Cyber Violent Language under Memetics
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초록
인터넷 언어는 줄곧 언어학 연구자들에 의해 다양한 관점에서 연구되고 있으며, 다양한 유형의 소셜 네트워크 사용 등으로 인터넷 언어는 하루가 다르게 사용 범위가 급속히 발전하고 있다. 온라인에서 만들어진 새로운 유형의 언어가 온오프라인을 막론하고 대중들에 의해 광범위하게 사용되고 있는데, 인터넷 용어가 가지는 유머러스와 생동감 등의 순기능과 함께 사이버 언어폭력이라는 역기능 현상도 함께 동반되고 있다. 중국 온라인에서도 비속어를 사용한 다양한 종류의 인터넷 언어폭력이 존재하는데 본 논문은 밈 이론을 기반으로 중국 온라인에서 사용되고 있는 사이버 언어폭력의 유형과 생성 기제 및 변이 요소에 대해 전반적으로 연구하였다. 또한, 인터넷 언어폭력이 언어적 관점에서 가지는 화용적 특징에 대해서도 간략히 기술하였다.
Abstract
As an emerging language variant, researchers have made many efforts from different perspectives to address online violence language. Dawkins believes that human society is full of memes, and everything people learn is memes. Memetics, as a new theory, aims to explain the relationship between language and culture. Undoubtedly, memetics provides a new perspective for linguistics, and many scholars have been studying this theory for a long time. At the same time, we also noticed that previous research has left a lot of research space for this typical theory. Otherwise, language is constantly changing. Therefore, the variation and development of human language directly affect its evolution. Memetics provides a new perspective for analyzing online language. On the other hand, from the perspective of research on language memes, there is insufficient attention paid to the dynamic generation of language memes and a lack of a systematic and comprehensive conceptual framework for meme language. Network language is a product of the information age background and a typical language variant. Therefore, analyzing its complex generation and evolution process is of great significance for the development of language. This article is based on meme theory and focuses on language variants of online violence. Mainly studying the language variants of online violence used by young Chinese netizens. Based on the definition of online violence language, in order to better analyze the variants of online violence language, the author screened some typical online violence events from 2011 to 2021. Based on the fact that there are a large number of language variants of online violence and popular internet slang, the author has built a corpus to better analyze this language variant. All texts are collected from some influential websites, such as Weibo, QQ, WeChat, Tiktok, etc. In addition, some data is collected from real-world communication. The collected language variants of online violence are representative and widely disseminated.
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