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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">rusworld</journal-id><journal-title-group><journal-title xml:lang="ru">Россия и мир: научный диалог</journal-title><trans-title-group xml:lang="en"><trans-title>Russia &amp; World: Sc. Dialogue</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2782-3067</issn><publisher><publisher-name>НИИРК</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.53658/RW2024-4-4(14)-63-85</article-id><article-id custom-type="elpub" pub-id-type="custom">rusworld-275</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МЕЖДУНАРОДНЫЕ, ГЛОБАЛЬНЫЕ И РЕГИОНАЛЬНЫЕ ПРОЦЕССЫ. Международные отношения, глобальные и региональные исследования</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INTERNATIONAL, GLOBAL AND REGIONAL PROCESSES. International relations, global and regional studies</subject></subj-group></article-categories><title-group><article-title>Трансмедийное вовлечение: фрейм-анализ цифровой дипломатии США в России при помощи искусственного интеллекта</article-title><trans-title-group xml:lang="en"><trans-title>Transmedia Engagement: AI-Driven Frame Analysis of the U.S. Digital Diplomacy in Russia</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7118-8632</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Базлуцкая</surname><given-names>М. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Bazlutckaia</surname><given-names>M. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Базлуцкая Мария Михайловна - Аспирант кафедры мировых политических процессов,</p><p>119454, г. Москва, пр-т Вернадского, 76.</p></bio><bio xml:lang="en"><p>Mariia M. Bazlutckaia - Postgraduate student of the Department of World Political Processes,</p><p>76, prospect Vernadskogo, Moscow, 119454.</p></bio><email xlink:type="simple">m.bazlutskaya@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6853-6253</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сытник</surname><given-names>А. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Sytnik</surname><given-names>A. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сытник Анна Николаевна - Кандидат политических наук. Доцент кафедры американских исследований,</p><p>199034, г. Санкт-Петербург, Университетская наб., 7–9.</p></bio><bio xml:lang="en"><p>Anna N. Sytnik - CandSc. (Polit.). Assistant Professor,</p><p>7-9, Universitetskaya nab., Saint-Petersburg, 199034.</p></bio><email xlink:type="simple">a.sytnik@spbu.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Московский государственный институт международных отношений (университет) Министерства иностранных дел Российской Федерации<country>Россия</country></aff><aff xml:lang="en">Moscow State Institute of International Relations (MGIMO University)<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Санкт-Петербургский государственный университет<country>Россия</country></aff><aff xml:lang="en">St. Petersburg State University<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>01</day><month>12</month><year>2024</year></pub-date><volume>0</volume><issue>4</issue><fpage>63</fpage><lpage>85</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Базлуцкая М.М., Сытник А.Н., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Базлуцкая М.М., Сытник А.Н.</copyright-holder><copyright-holder xml:lang="en">Bazlutckaia M.M., Sytnik A.N.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.russia-world.ru/jour/article/view/275">https://www.russia-world.ru/jour/article/view/275</self-uri><abstract><p>В условиях глубочайшего геополитического кризиса цифровая дипломатия претерпевает изменения. Если во время пандемии COVID-19 внутренние вызовы привели к появлению гибридной, или смешанной, дипломатии, то сегодня этот феномен пытается пережить внешнюю фрагментацию Интернета и деплатформинг. Эти факторы влияют на изменение роли министерств иностранных дел, которые из исключительно первичного источника информации превращаются в трансмедийные холдинги. Авторы утверждают, что цифровая дипломатия США в России может служить примером такой эволюции. С помощью теории трансмедийного вовлечения авторы показывают, что цифровая дипломатия США зависит не только от работы Государственного департамента или Агентства по глобальным медиа, но получает более широкий охват благодаря распространению сообщений сетью медиаисточников, которые придерживаются аналогичных с этими ведомствами фреймов. Иллюстрируется это с помощью фрейм-анализа почти 6 000 публикаций из социальной сети X, размещенных на официальных аккаунтах американской цифровой дипломатии и организаций, признаваемых США в качестве российских «независимых СМИ». Анализ охватывает четыре крупнейших кризиса в отношениях между Россией и США, приходящихся на 2011, 2012, 2014 и 2022 гг., и проводится с помощью таких инструментов, как ChatGPT, Gephi и Voyant Tools. Статья восполняет пробел в исследовании цифровой дипломатии США в России и делает качественный прорыв в изучении текстовых фреймов с помощью технологий искусственного интеллекта.</p></abstract><trans-abstract xml:lang="en"><p>In the context of the deepest geopolitical crisis, digital diplomacy is undergoing changes. If during the COVID-19 pandemic, internal challenges led to the emergence of hybrid or mixed diplomacy, today this phenomenon is trying to survive the external fragmentation of the Internet and de-platforming. These factors influence the changing role of foreign ministries, which are turning from an exclusively primary source of information into transmedia holdings. The authors argue that US digital diplomacy in Russia can serve as an example of such an evolution. Using the theory of transmedia engagement, the authors show that US digital diplomacy depends not only on the work of the State Department or the Agency for Global Media, but receives a wider reach due to the dissemination of messages by a network of media sources that adhere to similar frames as these departments. The authors illustrate this through a frame analysis of nearly 6,000 publications from the social network X, posted on official accounts of American digital diplomacy and organizations recognized by the United States as Russian “independent” media. The analysis covers the four major crises in US-Russia relations, occurring in 2011, 2012, 2014, and 2022, and is conducted using tools such as ChatGPT, Gephi, and Voyant Tools. The article fills a gap in the study of US digital diplomacy in Russia and makes a qualitative breakthrough in the study of text frames using artificial intelligence technologies.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>цифровая дипломатия</kwd><kwd>социальные сети</kwd><kwd>США</kwd><kwd>Россия</kwd><kwd>искусственный интеллект</kwd><kwd>ChatGPT</kwd><kwd>Voyant Tools</kwd><kwd>Gephi</kwd></kwd-group><kwd-group xml:lang="en"><kwd>digital diplomacy</kwd><kwd>social media</kwd><kwd>USA</kwd><kwd>Russia</kwd><kwd>artificial intelligence</kwd><kwd>ChatGPT</kwd><kwd>Voyant Tools</kwd><kwd>Gephi</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Антюхова Е.А. 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