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Digital marketing augmented linguistically: a case of three websites

Elina O. Paliichuk

ACNS Conference Series: Social Sciences and Humanities, Volume 3 (2023): 2nd International Conference on New Trends in Linguistics, Literature and Language Education (3L-Edu 2022) 18 May 2022, Kryvyi Rih, Ukraine, Article 02003

Published online: 30 May 2023

Abstract

The study focuses on the cognitive prerequisites of website content writing through the lens of image-schema theory. This linguistic observation has been made with the help of conceptual analysis. The case study is based on the content of three websites. It has been established that the website text augmentation is achieved due to specific verbal manifestation of image schema clusters. The insights gained give the grounds for an empirical follow-up on reader’s response to image schema verbalisation in website texts.

Keywords

website language, image-schema clusters, digital marketing, augmentation

DOI

https://doi.org/10.55056/cs-ssh/3/02003

Cite this article

Paliichuk, E.O., 2023. Digital marketing augmented linguistically: a case of three websites. ACNS Conference Series: Social Sciences and Humanities,3, p.02003. Available from: https://doi.org/10.55056/cs-ssh/3/02003

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	year = {2023},
	publisher = {{Academy of Cognitive and Natural Sciences}},
	volume = {3},
	pages = {02003},
	author = {Elina O. Paliichuk},
	title = {{Digital marketing augmented linguistically: a case of three websites}},
	journal = {{ACNS Conference Series: Social Sciences and Humanities}},
	abstract = {The study focuses on the cognitive prerequisites of website content writing through the lens of image-schema theory. This linguistic observation has been made with the help of conceptual analysis. The case study is based on the content of three websites. It has been established that the website text augmentation is achieved due to specific verbal manifestation of image schema clusters. The insights gained give the grounds for an empirical follow-up on reader’s response to image schema verbalisation in website texts.},
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%K website language, image-schema clusters, digital marketing, augmentation

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CC BY 4.0 This is an Open Access article distributed under the terms of the Creative Commons License Attribution 4.0 International (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.