INFORMATION WARS’ PATHOGENIC TEXTS NEUTRALIZATION ALGORITHM

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.

Keywords

• інформаційна війна
• вплив
• мовленнєвий вплив
• сугестія
• нейролінгвістичне програмування
• нлп
• сугестивна лінгвістика
• теорія брехні
• метамодель мови
• патогенні тексти
• алгоритм
• nap-структура лінгвістичної сугестивності