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Features of the remote work of the editor with copywriting texts

Authors: Levshchanova O.; Pidmohylna N.;

Features of the remote work of the editor with copywriting texts

Abstract

The article deals with the features of the remote work of the editor with copywriting texts. The paper examines the definitions of the terms "copywriting" and "copywriting text". The author analyzes classifications of the linguistic and non-linguistic errors in journalistic texts proposed by different scientists. The article describes editing methods, which the editor uses when working with texts. Also, the author finds out which linguistic and non-linguistic errors are typical for the copywriters to make in their texts. The article explores online communication between the copywriter and the editor. The author offers a simplified system of error classification in the texts of the copywriters to make the remote work of the editor with such texts possible. The simplified system of error classification contains 4 categories of errors, including grammar, stylistic, informational and technical specification errors. Some categories help to raise the level of the text, as well as enhance its uniqueness and quality, for example, avoiding repetitions and templates, increase in the clarity and readability of the text, reducing the spam level. The article explains how the editor should work with this system: write comments with a thorough explanation of the error. The author claims that the simplified system of error classification is convenient for the professional editors and understandable for copywriters with different backgrounds. Also, it is presumed in the article that this system will improve the quality of texts, help the author avoid typical mistakes. The author concludes that development of such system is intended to improve the quality of the copywriting texts and individual content creation studios, which will affect the overall level of copywriting in Ukraine.

Keywords

copywriting, editor, error classification, copywriter, text

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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