廣告語言嵌入對廣告效果的影響研究:網(wǎng)絡(luò)語言與標(biāo)準(zhǔn)語言的比較
[Abstract]:With the rapid development of the Internet, network language is a novel and interesting language form, which is widely used in advertising. As a variant of standard language, network language does not exist independently of standard language. However, when they are mixed in advertising, there is no empirical test of which language is the main language and which language is embedded. In order to investigate whether code-switching between network language and standard language has directional effect, this paper uses experimental method to compare embedded network language with embedded standard language, and introduces standard language group without code-switching as reference group. At the same time, the differences between embedding and non-embedding are verified by contrasting the directional effect of code-switching. In addition, in order to explore whether different product advertisements are suitable for different language embedding forms, this paper also examines the interactive effects of advertising language embedding forms and product categories on advertising effects. In this paper, the main effect and the interaction effect are tested by two experiments of two 3 (embedded network language VS embedded standard language VS not embedded) (high perception risk product VS low perception risk product). In experiment 1, the eye movement instrument was used to measure the attention level of the subjects to the advertisement. By recording the fixation times, fixation time and pupil diameter of six groups of different subjects, the differences of advertising attention caused by different language embedding forms were studied. The results showed that subjects put more attention points into advertisements embedded in web language and dilated pupil diameter. High perceived risk products use embedded network language to get a higher level of advertising attention, while low perception risk products use embedded standard language advertising to get more attention level. Whether high-perception risk products or low-perception risk products, the standard language form of advertising attention is the worst. In experiment 2, the popular words such as "Aojiao" and "Baby" were applied to 5 kinds of products with high perceived risk and 5 kinds of products with low perceived risk. Thirty different advertisements were randomly assigned to different subjects to measure the differences in advertising attitude and product evaluation among different groups. The results show that the embedded network language is more effective than the embedded standard language in advertising attitude and product evaluation, and the advertising effect of these two language forms is better than that of the standard language without embedding. There is interactive effect between product category and advertising language embedding form. Low perception risk product advertisement embedding network language brings a better advertising attitude than embedding standard language, but the two language embedding forms have no significant influence on product evaluation. The use of embedded standard language or embedded network language has no significant influence on advertising attitude and product evaluation. Whether high perception risk product or low perception risk product, the effect of using standard language form is the worst. This paper studies the code-switching direction effect of two kinds of hieroglyphic characters, which provides some guidance for advertisers to better use network language in advertising. At the end of the article, it also points out the limitations of the research process and the possible direction of future research.
【學(xué)位授予單位】:深圳大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F713.8
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