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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