A Rough Idea about the Third Generation Memes of China

Zhang Liang; Na, Min Gu

doi:10.18212/cccs.2020..50.007

This paper analyzes and discusses the history and present situation of visual language led by meme (emoticon) in Chinese network, the composition of the 3rd generation memes influence and development trend prediction. The focus is on the analysis of two main components of the 3rd generation memes: pictures and texts. This was not particularly involved in other previous studies. The paper argues that the main features of the pictures are the randomness of composition, low resolution of picture quality, and lack of system. And the main features of texts are irregular words (including pronunciation, form, and meaning), humorous content, and hotspot tracking. Based on the characteristics and functions of pictures and texts, this paper draws the following opinions and predictions for the whole of the third generation’ memes: First, the shift of ideographic proportion. From the analysis of the combination of graphic and graphic expression package, the overall expressive channel of expression package is gradually transferred from picture to text. Second, emoticon packages are popular on social networking platforms due to the time-saving and labor-saving of generation and use, accurate expression of intentions and images, rapid updates and hotspot tracking Thirdly, there are many problems with the visual language of the Internet, such as harsh language, misuse of language materials and so on. Fourth: the future development trend of emoticon package is expected to continue to reduce storage capacity and enrich content.

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