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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with OASIS Tables with MathML3 v1.4 20241031//EN" "https://jats.nlm.nih.gov/archiving/1.4/JATS-archive-oasis-article1-4-mathml3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" dtd-version="1.4" article-type="research-article" xml:lang="en"><front><journal-meta><journal-title-group><journal-title xml:lang="ru">Вестник Волгоградского государственного университета. Серия 2. Языкознание</journal-title></journal-title-group><issn publication-format="print">1998-9911</issn><issn publication-format="electronic">2409-1979</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.15688/jvolsu2.2023.5.1</article-id><article-categories><subj-group><subject>Other</subject></subj-group></article-categories><title-group><article-title xml:lang="ru">Лингвокультурная специфика репрезентации искусственного интеллекта
в англоязычном медиадискурсе: корпусный подход [На англ. яз.]</article-title><trans-title-group xml:lang="en"><trans-title>Linguocultural Specifics of Artificial Intelligence Representation in the English
Language Media Discourse: Corpus-Based Approach</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Кочетова</surname><given-names>Лариса Анатольевна</given-names></name><name xml:lang="en"><surname>Kochetova</surname><given-names>Larisa A.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/><contrib-id contrib-id-type="orcid">0000-0002-5278-7373</contrib-id></contrib><aff-alternatives id="aff1"><aff xml:lang="en"><institution>Volgograd State University (Volgograd, Russia)</institution></aff><aff xml:lang="ru"><institution>Волгоградский государственный университет (Волгоград, Россия)</institution></aff></aff-alternatives></contrib-group><pub-date pub-type="epub" iso-8601-date="2023-12-26"><day>26</day><month>12</month><year>2023</year></pub-date><volume>22</volume><issue>5</issue><fpage>6</fpage><lpage>18</lpage><history><date date-type="received" iso-8601-date="2023-02-15"><day>15</day><month>02</month><year>2023</year></date><date date-type="accepted" iso-8601-date="2023-06-05"><day>05</day><month>06</month><year>2023</year></date></history><permissions><license xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:title="CC BY 4.0"><ali:license_ref>https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p xml:lang="ru">CC BY 4.0</license-p></license></permissions><abstract xml:lang="ru"><p>В статье дискурсивное конструирование искусственного интеллекта (ИИ) в англоязычном медиадискурсе рассматривается в лингвокультурном аспекте. Методами корпусной лингвистики проанализирована семантическая, образно-перцептивная и аксиологическая специфика медиарепрезентации ИИ в различных сегментах СМИ: таблоидах и широкоформатных изданиях. В результате корпусного дискурсивного анализа установлены ключевые семантические домены, определяющие дискурсивную интерпретацию ИИ как социально значимого феномена; образно-оценочное и ценностное содержание медиарепрезентации ИИ; особенности способов медиарепрезентации доменов концепта ИИ в исследуемых сегментах СМИ. Показано, что ИИ получает множественные медиарепрезентации, в которых его концептуальные признаки, выраженные лексическими единицами семантических полей «Знание», «Способность», «Информационные и компьютерные технологии», дополняются за счет лексических единиц семантических полей «Безопасность / Опасность», «Трансформация», «Этика» и др. Выявлено, что в медийных нарративах понятийный признак «имитация человеческих способностей» ассоциируется с фейковыми новостями, плагиатом, военными действиями, преступностью, изменением климата и безработицей; в нарративах об ИИ широкоформатных СМИ доминируют единицы: семантического поля «Роботы», акцентирующие сходство ИИ с антропоморфными сущностями; семантического поля «Конкуренция», репрезентирующие идею соперничества между человеком и машиной, а также между странами и компаниями; семантического поля «Война», актуализирующие прагматику предупреждения, связанную с коллективной безопасностью и выражающую общественную обеспокоенность возможными негативными последствиями развития ИИ. Популярные СМИ подчеркивают андрогенную природу ИИ, его развлекательный потенциал («Игры»), утилитарные ценности, относящиеся к заботе о здоровье («Лекарства и лечение»), и содержат прагматику предупреждения, относящуюся к сфере индивидуальной безопасности («Преступление»). Оценочная медиарепрезентация ИИ формируется в основном этическими и утилитарными, чаще негативными оценочными, характеристиками, которые выражаются посредством метафорических образов, интертекстуальных отсылок, культурных моделей, обусловливающих поведенческие паттерны членов дискурсивного сообщества.</p></abstract><abstract xml:lang="en" abstract-type="summary"><p>The article deals with the discursive construction of artificial intelligence (AI) in the Englishlanguage media discourse. Corpus methods establish semantic, figurative-perceptual and axiological specificity in the media representation of AI in various media segments, such as tabloids and broadsheet papers. Corpusassisted discourse analysis includes: 1) identification of unique semantic domains that determine discourse interpretations of this socially significant phenomenon, followed by an analysis of their dispersion in narratives about AI; 2) analysis of the figurative-evaluative and value content of its media representation; 3) investigation of the specifics of broadsheet media and tabloid media representations of the AI concept. It was found that AI receives multiple media representations, in which its conceptual features represented by the lexical items of the semantic fields “Knowledge”, “Ability”, “Information and Computer Technologies” are supplemented and enriched by the lexical units of the semantic fields “Safety/Danger”, “Transformation”, “Ethics”. In media narratives about AI, the concept of “imitation of human abilities” is often associated with fake news, plagiarism, warfare, crime, climate change, and unemployment. Corpus data revealed that in the narratives about AI in broadsheet media, the lexical items of the semantic field “Robots” emphasize the similarity of AI with anthropomorphic entities; the semantic field “Competition” represents the idea of a rivalry between a human and a machine, as well as between countries, governments and companies; the semantic field “Warfare” actualizes the pragmatics of warning related to collective security and expressing public concern about the possible negative consequences of the development of AI. Popular media emphasize the androgenic nature of AI, its entertainment potential (“Games”), practical values related to health care (“Medicines and Treatment”); and the pragmatics of warning related to individual safety (“Crime”). The evaluative media representation of AI is formed mainly by ethical and practical, often negative, evaluative features transmitted through metaphoric images, intertextual references, and cultural models that determine the behavioural patterns of the discursive community members.</p></abstract><kwd-group xml:lang="ru"><kwd>корпусный анализ дискурса</kwd><kwd>метод ключевых слов</kwd><kwd>искусственный интеллект</kwd><kwd>концепт</kwd><kwd>метафорическая модель</kwd><kwd>оценка</kwd><kwd>лингвокультурная специфика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>corpus-assisted discourse analysis</kwd><kwd>keyword analysis</kwd><kwd>artificial intelligence</kwd><kwd>concept</kwd><kwd>metaphoric model</kwd><kwd>evaluation</kwd><kwd>cultural specifics</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда № 23-28-00509, https://rscf.ru/project/23-28-00509/</funding-statement><funding-statement xml:lang="en">The study is supported by Russian Science Foundation, № 23-28-00509, https://rscf.ru/project/23-28-00509/</funding-statement></funding-group></article-meta></front><back><ref-list><ref id="ref1"><mixed-citation publication-type="other" xml:lang="en">Bareis J., Katzenbach C., 2021. 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