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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">dt</journal-id><journal-title-group><journal-title xml:lang="ru">Цифровая трансформация</journal-title><trans-title-group xml:lang="en"><trans-title>Digital Transformation</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2522-9613</issn><issn pub-type="epub">2524-2822</issn><publisher><publisher-name>Educational Establishment “Belarusian State University of Informatics and Radioelectronics”</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.35596/1729-7648-2025-31-2-5-12</article-id><article-id custom-type="elpub" pub-id-type="custom">dt-936</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>ЭКОНОМИЧЕСКИЕ НАУКИ, ОБРАЗОВАНИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMIC SCIENCES, EDUCATION</subject></subj-group></article-categories><title-group><article-title>Методические основы качественного и количественного анализа работы IT-компаний в социальных сетях</article-title><trans-title-group xml:lang="en"><trans-title>Methodological Foundations of Qualitative and Quantitative Analysis of IT Companies' Work in Social Networks</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Батура</surname><given-names>М. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Batura</surname><given-names>M. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p> д-р техн. наук, проф., зав. науч.- исслед. лаб. «Новые обучающие технологии» </p><p>Минск</p></bio><bio xml:lang="en"><p>Dr. Sci. (Tech.), Professor, Head of the R&amp;D Laboratory “New Educational Technologies” </p><p>Minsk </p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Марахина</surname><given-names>И. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Marakhina</surname><given-names>I. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Марахина Инна Викторовна, канд. экон. наук, доц., доц. каф. экономики </p><p>220005, Минск, ул. Платонова, 39–809 </p><p>Тел.: +375 29 380-59-99 </p></bio><bio xml:lang="en"><p>Маrakhina Ina Victorovna, Cand. Sci. (Econ.), Associate Professor, Associate Professor at the Economics Department  </p><p>220005, Minsk, Platonova St., 39–809 </p></bio><email xlink:type="simple">inamarahina@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пархименко</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Parkhimenko</surname><given-names>U. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>канд. экон. наук, доц., зав. каф. экономики </p><p>Минск</p></bio><bio xml:lang="en"><p>Cand. Sci. (Econ.), Associate Professor, Head of the Economics Department </p><p>Minsk</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Белорусский государственный университет информатики и радиоэлектроники</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Belarusian State University of Informatics and Radioelectronics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>20</day><month>06</month><year>2025</year></pub-date><volume>31</volume><issue>2</issue><fpage>5</fpage><lpage>12</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Батура М.П., Марахина И.В., Пархименко В.А., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Батура М.П., Марахина И.В., Пархименко В.А.</copyright-holder><copyright-holder xml:lang="en">Batura M.P., Marakhina I.V., Parkhimenko U.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" 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://dt.bsuir.by/jour/article/view/936">https://dt.bsuir.by/jour/article/view/936</self-uri><abstract><p>Рассмотрены методические основы качественного и количественного анализа SMM-деятельности компаний IT-сектора. Сформулированы цели и задачи такого анализа, выделены показатели активности компании в социальных сетях. Проведено последовательное сравнение уникальности постов Facebook с X, LinkedIn с X и Facebook, а также сгруппированы посты компаний в соцсетях по категориям в зависимости от основной темы. Наряду с темами предложено оценивать и другие характеристики постов, позволяющие исследовать широту инструментария SMM: особенности постов, стиль, цветовое оформление, хештеги, ссылки. Вовлеченность подписчиков компании и пользователей социальной сети предлагается оценивать через число лайков, а также через сумму количества репостов и комментариев каждого поста. Для систематизации итоговых результатов исследований создана форма для анализа работы компаний в социальных сетях.</p></abstract><trans-abstract xml:lang="en"><p>The article considers the methodological principles of qualitative and quantitative analysis of SMM activities of IT companies. The goals and objectives of such analysis are formulated, and the company՚s activity indicators in social networks are highlighted. A consistent comparison of the uniqueness of Facebook posts with X, LinkedIn with X and Facebook is carried out, and company posts in social networks are grouped into categories depending on the main topic. Along with topics, it is proposed to evaluate other characteristics of posts that allow exploring the breadth of SMM tools: post features, style, color scheme, hashtags, links. It is proposed to evaluate the involvement of the subscribers of the company and social network users through the number of likes, as well as through the total number of reposts and comments for each post. To systematize the final results of the research, a form for analyzing the work of companies in social networks was created.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>исследование</kwd><kwd>методика</kwd><kwd>социальная сеть</kwd><kwd>SMM</kwd><kwd>маркетинг</kwd><kwd>платформа</kwd><kwd>IT</kwd><kwd>LinkedIn</kwd><kwd>X</kwd><kwd>Facebook</kwd><kwd>пост</kwd><kwd>подписчики</kwd></kwd-group><kwd-group xml:lang="en"><kwd>research</kwd><kwd>methodology</kwd><kwd>social network</kwd><kwd>SMM</kwd><kwd>marketing</kwd><kwd>platform</kwd><kwd>IT</kwd><kwd>LinkedIn</kwd><kwd>X</kwd><kwd>Facebook</kwd><kwd>post</kwd><kwd>subscribers</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">Батура, М. П. К вопросу об эффективности и необходимости продвижения ИТ-компаний в социальных сетях / М. П. Батура, И. В. Марахина, В. А. 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