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Multimodal Metaphor and Metonymy in Advertising

Authors: Paula Pérez Sobrino;

Multimodal Metaphor and Metonymy in Advertising

Abstract

Metaphor and metonymy appeal to us because they evoke mental images in unique but still recognisable ways. The potential for figurative thought exists in everyone, and it pervades our everyday social interactions. In particular, advertising offers countless opportunities to explore the way in which people think creatively through metaphor and metonymy. The thorough analysis of a corpus of 210 authentic printed advertisements shows the central role of multimodal metaphor, metonymy, and their patterns of interaction, at the heart of advertising campaigns. This book is the first in-depth research monograph to bring together qualitative and quantitative evidence of metaphor-metonymy combinations in real multimodal discourse. It combines detailed case study analyses with corpus-based analysis and psycholinguistic enquiry to provide the reader with a prismatic approach to the topic of figurative language in multimodal advertising. Besides its theoretical contribution to the field of multimodal figurative language, this monograph has a wide number of practical applications due to its focus on advertising and the communicative impact of creative messages on consumers. This book will pave the way for further qualitative and quantitative research on the ways in which figurative language shapes multimodal discourse, and how it relates to our everyday creative thinking.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
167
Top 1%
Top 10%
Top 1%
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