INFORMATION WARS’ PATHOGENIC TEXTS NEUTRALIZATION ALGORITHM
Journal Title: Записки з українського мовознавства - Year 2018, Vol 0, Issue 25
Abstract
The article deals with studying the negative effect of the speech influence phenomenon realized within the pathogenic texts distributed in the network of the information wars in the Ukrainian information space. The research is carried out within the paradigm of such modern complex sciences as Neuro-Linguistic Programming and Suggestive Linguistics, and is a step-by-step algorithm of the pathogenic texts’ negative effect neutralization based on isolating the suggestive techniques’ markers having been described in NLP’s Meta-model, P. Ekman’s Lies Theory, and the author’s information wars classification, as well as the Linguistic Suggestivity NAP-structure.
Authors and Affiliations
A. V. Kovalevska
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COMMUNICATIVE SUGGESTION TECHNOLOGIES IN NEUROLINGUISTIC PROGRAMMING
The article describes the current neuro-linguistic programming techniques focused on achieving the suggestive effects in polygenre discourses. In particular, the author analyzes the potential of predicate identification...
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SYNTACTIC REPEAT AS DOMINANT EXPRESSIVE MARKING (оn the basis of advocacy speeches)
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Thе deverbative word-formative types in Ukrainian language defined in works by I. Kovalyk, S. Bevzenko, S. Samiylenko, V. Tokar, L. Humetska and other. Thе article is devoted to the study of functioning of the word-forma...