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多模态隐喻的研究趋势:文献计量分析

Research trends in multimodal metaphor: a bibliometric analysis.

作者信息

Zhong Zenan, Wen Suijun, Chen Shukun

机构信息

School of Foreign Languages and Cultures, Guangdong University of Finance, Guangzhou, China.

出版信息

Front Psychol. 2023 Apr 17;14:1144725. doi: 10.3389/fpsyg.2023.1144725. eCollection 2023.

DOI:10.3389/fpsyg.2023.1144725
PMID:37138971
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10150995/
Abstract

The concept of multimodal metaphor has generated a growing body of literature over the past decades. However, a systemic review of the domain seems to be lacking in relevant literature. This study, therefore, is an attempt to conduct a bibliometric analysis of the field of multimodal metaphor during 1977-2022, with a focus on 397 relevant publications retrieved from the Web of Science Core Collection (WoSCC) with the visualization tool VOSviewer. Some major quantitative findings are: (i) the number of publications in multimodal research began to surge in 2010 upon the seminal work of Forceville's (2009); (ii) USA, China and Spain are the most productive countries; (iii) journals in the field of advertising, communication and linguistics are important sources of publications; and (iv) eleven clusters of keywords are identified, such as "visual metaphor", "persuasion", "pictures", "impact", "multimodal metaphor", "model", etc., representing crucial areas of interests. We also identified, by qualitative observations, three research trends in multimodal metaphor, driven by cognitive linguistic theory, the theory of pragmatics and visual/multimodal rhetoric theory, respectively. Various theoretical perspectives may shed light on possible further research on multimodal metaphor.

摘要

在过去几十年里,多模态隐喻的概念催生了越来越多的文献。然而,相关文献中似乎缺少对该领域的系统性综述。因此,本研究试图对1977年至2022年期间多模态隐喻领域进行文献计量分析,重点是使用可视化工具VOSviewer从科学网核心合集(WoSCC)中检索到的397篇相关出版物。一些主要的定量研究结果如下:(i)自福斯维尔2009年的开创性著作发表后,多模态研究的出版物数量在2010年开始激增;(ii)美国、中国和西班牙是产出最多的国家;(iii)广告、传播学和语言学领域的期刊是重要的出版物来源;(iv)识别出了11个关键词聚类,如“视觉隐喻”“说服”“图片”“影响”“多模态隐喻”“模型”等,代表了关键的研究兴趣领域。我们还通过定性观察确定了多模态隐喻的三种研究趋势,它们分别由认知语言学理论、语用学理论以及视觉/多模态修辞理论驱动。各种理论视角可能会为多模态隐喻的进一步研究提供启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/8eeefdc6eac8/fpsyg-14-1144725-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/1bbe143ec30e/fpsyg-14-1144725-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/0794b5cab361/fpsyg-14-1144725-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/000565eca0cf/fpsyg-14-1144725-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/aea5fd52ef15/fpsyg-14-1144725-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/c7982b1729c2/fpsyg-14-1144725-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/c5c15651f885/fpsyg-14-1144725-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/521af3197807/fpsyg-14-1144725-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/1c2b492a2535/fpsyg-14-1144725-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/9f5eebf5a16b/fpsyg-14-1144725-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/8eeefdc6eac8/fpsyg-14-1144725-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/1bbe143ec30e/fpsyg-14-1144725-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/0794b5cab361/fpsyg-14-1144725-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/000565eca0cf/fpsyg-14-1144725-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/aea5fd52ef15/fpsyg-14-1144725-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/c7982b1729c2/fpsyg-14-1144725-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/c5c15651f885/fpsyg-14-1144725-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/521af3197807/fpsyg-14-1144725-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/1c2b492a2535/fpsyg-14-1144725-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/9f5eebf5a16b/fpsyg-14-1144725-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ae4/10150995/8eeefdc6eac8/fpsyg-14-1144725-g010.jpg

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