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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">dgisocio</journal-id><journal-title-group><journal-title xml:lang="ru">Цифровая социология/Digital Sociology</journal-title><trans-title-group xml:lang="en"><trans-title>Digital Sociology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2658-347X</issn><issn pub-type="epub">2713-1653</issn><publisher><publisher-name>Государственный университет управления</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26425/2658-347X-2023-6-3-21-33</article-id><article-id custom-type="elpub" pub-id-type="custom">dgisocio-265</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>ЦИФРОВАЯ СОЦИОЛОГИЯ: НАПРАВЛЕНИЯ ИССЛЕДОВАНИЙ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DIGITAL SOCIOLOGY: RESEARCH AREAS</subject></subj-group></article-categories><title-group><article-title>От количественного измерения доверия к пониманию общественного запроса неопросными методами. Опыт прикладного регионального исследования</article-title><trans-title-group xml:lang="en"><trans-title>From quantitative measurement to understanding public demand: Exploring non-survey methods in applied regional research</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9136-2717</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Петров</surname><given-names>К. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Petrov</surname><given-names>K. Ye.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Петров Кирилл Евгеньевич, Канд. полит. наук, ст. науч. сотр. Института международных исследований</p><p>г. Москва</p></bio><bio xml:lang="en"><p>Kirill Ye. Petrov, Cand. Sci. (Pol.), Senior Researcher</p><p>Moscow</p><p> </p></bio><email xlink:type="simple">k.petrov@inno.mgimo.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1755-2162</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Минченко</surname><given-names>Е. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Minchenko</surname><given-names>E. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Минченко Евгений Николаевич, Преп. каф. регионального управления и национальной политики, директор Центра исследований политических элит института международных исследований</p><p>г. Москва</p><p> </p></bio><bio xml:lang="en"><p>Evgeny N. Minchenko, Director of Center for Political Elite Studies, Lecturer at the Regional Administration and National Policy Department</p><p>Moscow</p></bio><email xlink:type="simple">minchenkomgimo@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>Лапин</surname><given-names>В. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Lapin</surname><given-names>V. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Лапин Владислав Сергеевич, независимый исследователь</p></bio><bio xml:lang="en"><p>Vladislav S. Lapin, Independent scientist</p></bio><email xlink:type="simple">lapinvladislav@rambler.ru</email></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский государственный институт международный&#13;
отношений МИД Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>MGIMO University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>07</day><month>10</month><year>2023</year></pub-date><volume>6</volume><issue>3</issue><fpage>21</fpage><lpage>33</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Петров К.Е., Минченко Е.Н., Лапин В.С., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Петров К.Е., Минченко Е.Н., Лапин В.С.</copyright-holder><copyright-holder xml:lang="en">Petrov K.Y., Minchenko E.N., Lapin V.S.</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://digitalsociology.guu.ru/jour/article/view/265">https://digitalsociology.guu.ru/jour/article/view/265</self-uri><abstract><p>Данная статья отталкивается от хорошо разработанной проблематики изучения доверия в обществе к социальным институтам, а также между индивидами. В настоящее время контактная количественная социология сталкивается с рядом вызовов, а уровень согласия для участия в опросах постоянно падает. Для достоверной оценки общественного мнения уже сейчас требуются бесконтактные инструменты изучения цифровой среды. Применение неопросных методик сбора больших данных с использованием предварительно сформированного тезауруса позволяет отбирать данные для анализа и обойти проблемы, связанные с набором респондентов. Рассмотрено применение подхода SML для анализа цифровых публикации русскоязычных пользователей из Новосибирска (более 450 тыс. публикаций), собранных в 2020 г. Комбинирование количественных и качественных методов позволило описать аудиторию и провести категоризацию сфер, в которых проявляется общественное недоверие и недовольство. Применение данного подхода может быть полезно для решения управленческих задач, направленных на повышение доверия в обществе. Таким образом, исследование представляет собой ценный вклад в развитие современной социологии и ее прикладных аспектов.</p></abstract><trans-abstract xml:lang="en"><p>The article builds on the well-developed problem of studying trust in society towards social institutions, as well as between individuals. Currently, contact quantitative sociology faces a number of challenges, and the level of consent to participate in surveys is steadily falling. In order to reliably assess public opinion, non-contact tools for studying the digital environment are already required. The application of non-survey techniques for collecting big data using a pre-formed thesaurus allows us to select data for analysis and circumvent the problems associated with respondent recruitment. The application of SML approach to analyze digital publications of Russian-speaking users from Novosibirsk (more than 450 thousand publications) collected in 2020 has been considered. The combination of quantitative and qualitative methods allowed us to describe the audience and categorize the areas of public distrust and dissatisfaction. The application of this approach can be useful for managerial tasks aimed at increasing trust in society. Thus, the study is a valuable contribution to the development of modern sociology and its applied aspects.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Бесконтактная социология</kwd><kwd>большие данные</kwd><kwd>неопросная социология</kwd><kwd>доверие</kwd><kwd>SML</kwd><kwd>общественное мнение</kwd><kwd>политическое самосознание</kwd><kwd>доверие институтам</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Social listening</kwd><kwd>SML</kwd><kwd>big data</kwd><kwd>social polling</kwd><kwd>social trust</kwd><kwd>public opinion</kwd><kwd>political consciousness</kwd><kwd>trust in institutions</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена при финансовой поддержке Российского фонда фундаментальных исследований: проект 21-011-31678 «Разработка индекса доверия к власти граждан и элит современной России». Авторский коллектив выражает благодарность Е. Искаковой за вклад в написание данной статьи и ценные редакционные замечания.</funding-statement><funding-statement xml:lang="en">The article was prepared with the financial support of the Russian Foundation for Basic Research: Project 21-011-31678 “Index of trust development in government of citizens and elites of modern Russia”. The authors express gratitude to E. Iskakova for her contribution to the article and valuable editorial comments.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Белоконева С.Ю., Левина Е.В. Доверие населения и элит к власти: теоретико-прикладной аспект. Гуманитарные науки. Вестник Финансового университета. 2021;11(6):39–45. https://doi.org/10.26794/2226-7867-2021-11-6-39-45</mixed-citation><mixed-citation xml:lang="en">Belokoneva S.Yu., Levina E.V. Trust of the Population and Elites in Power: Theoretical and Applied Aspects. 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