Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ South Ural State Uni...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Моделирование ситуации небезопасности в обществе посредством вторичных способов номинации (на материале современного американского политического медиадискурса)

Authors: Semenova, E.M.;

Моделирование ситуации небезопасности в обществе посредством вторичных способов номинации (на материале современного американского политического медиадискурса)

Abstract

Семенова Елена Михайловна, кандидат филологических наук, доцент, Санкт-Петербургский университет технологий управления и экономики (Санкт-Петербург), semenovae63@gmail.com. Elena M. Semenova, Candidate of Philological Sciences, Associate Professor, St. Petersburg University of Management Technologies and Economics St. Petersburg, semenovae63@gmail.com Статья посвящена описанию персуазивных механизмов моделирования ситуации небезопасности в обществе посредством вторичных способов номинации. Предметом настоящего исследования являются способы коммуникативного воздействия на аудиторию с целью оказания определенного влияния на сознание реципиента. Цель работы – осуществить анализ наиболее репрезентативных метафорических моделей, включающих концепт DARK, обеспечивающих эффект убеждающего воздействия. Методология исследования опирается на когнитивнодискурсивную парадигму, а именно анализ дискурса и лингво-концептуальный анализ языковых средств, обладающих имплицитными смыслами и позволяющими обеспечить манипулятивное воздействие на получателей информации. В статье описываются следующие метафорические модели, концептуализирующие события и явления политического характера в терминах «небезопасности»: экономика страны – поле сражений; политические дебаты – военные действия; властные структуры – враги демократии; иммиграция – стихийное бедствие; компьютерные технологии – угроза общественной безопасности. В результате анализа выявленных паттернов установлено, что персуазивные механизмы воздействия на аудиторию актуализируются посредством специфической лексической номинации действий, событий и их участников, осуществляемой при помощи использования милитаристской, пейоративной лексики, инвективных ярлыков и политических аффективов. Кроме того, манипуляция сознанием активно осуществляется при помощи приемов навязывания пресуппозиции, специфической акцентуализации смыслов и усиленной метафоризации контекстов, что делает возможным интерпретацию описываемых событий в ключе, соответствующем прагматическим установкам автора. The article deals with the description of the persistent mechanisms of modeling the situation of insecurity in the society via secondary methods of nomination. The subject of this study is the methods of communication impact on the audience in order to exert a certain influence on the recipient's consciousness. The goal of the paper is to analyze the most representative metaphorical models that include the concept of DARK, providing the effect of persuasive influence. The research methodology is based on the cognitive-discursive paradigm, namely, the analysis of discourse and the linguistic-conceptual analysis of linguistic means that have implicit meanings that allow for manipulative influence on the information recipients. The article describes the following metaphorical models that conceptualize events and phenomena of a political nature in terms of “insecurity”: The country's economy is a battlefield; Political debates are military actions; Power structures are the enemies of democracy; Immigration is a natural disaster; Computer technologies are a threat to public safety. As a result of the analysis of the identified patterns, it is found that the persistent mechanisms of influencing the audience are actualized through a specific lexical nomination of actions, events and their participants, carried out through the use of militaristic, pejorative vocabulary, invective labels and political affections. In addition, the manipulation of consciousness is actively carried out with the help of methods of imposing presupposition, specific accentualization of meanings and enhanced metaphorization of contexts, which makes it possible to interpret the described events in a key corresponding to the author's pragmatic attitudes.

Keywords

персуазивные технологии, invasive technologies, metaphorical models, УДК 811.111’42, American political media discourse, американский политический медиадискурс, метафорические модели, вторичные способы номинации, secondary methods of nomination

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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!
0
Average
Average
Average
Green