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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2782-4586</issn>
   <issn publication-format="online">2949-1851</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">115522</article-id>
   <article-id pub-id-type="doi">10.26118/2782-4586.2026.35.85.018</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Научные статьи</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>SCIENTIFIC ARTICLES</subject>
    </subj-group>
    <subj-group>
     <subject>Научные статьи</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Assessment of the level of greenwashing in corporate reporting using NLP analysis</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Оценка уровня greenwashing в корпоративной отчетности с применением  NLP-анализа</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Милантьева</surname>
       <given-names>Александра Юрьевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Milant'eva</surname>
       <given-names>Aleksandra Yur'evna</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Мохначева</surname>
       <given-names>Софья Романовна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Mohnacheva</surname>
       <given-names>Sof'ya Romanovna</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Юрасова</surname>
       <given-names>Ирина Олеговна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Yurasova</surname>
       <given-names>Irina Olegovna</given-names>
      </name>
     </name-alternatives>
     <email>ioyurasova@mail.ru</email>
     <bio xml:lang="ru">
      <p>кандидат экономических наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>candidate of economic sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Финансовый университет при Правительстве Российской Федерации</institution>
    </aff>
    <aff>
     <institution xml:lang="en">Financial University under the Government of the Russian Federation</institution>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2026-03-04T22:30:06+03:00">
    <day>04</day>
    <month>03</month>
    <year>2026</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-04T22:30:06+03:00">
    <day>04</day>
    <month>03</month>
    <year>2026</year>
   </pub-date>
   <fpage>162</fpage>
   <lpage>169</lpage>
   <history>
    <date date-type="received" iso-8601-date="2026-02-22T00:00:00+03:00">
     <day>22</day>
     <month>02</month>
     <year>2026</year>
    </date>
   </history>
   <self-uri xlink:href="https://zhpi.ru/en/nauka/article/115522/view">https://zhpi.ru/en/nauka/article/115522/view</self-uri>
   <abstract xml:lang="ru">
    <p>В условиях роста требований к экологической ответственности бизнеса явление гринвошинга становится серьезной проблемой. Исследование посвящено созданию и тестированию методики для оценки уровня гринвошинга в корпоративных отчетах с использованием технологий обработки естественного языка (NLP). Анализ годовых и ESG-отчетов крупных компаний позволяет выявить лингвистические особенности, характерные для недостоверной экологической информации. Методология включает категоризацию утверждений, оценку их конкретности, прозрачности и сопоставление с реальными показателями деятельности, а также прогнозирование будущих результатов и проблем. Результаты работы демонстрируют потенциал NLP-анализа как эффективного инструмента для выявления расхождений между заявленными обязательствами компаний и их реальными действиями в области устойчивого развития. Разработанный подход позволяет автоматизировать процесс верификации заявлений компаний и способствует повышению достоверности нефинансовой отчетности.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>In the context of increasing demands for business environmental responsibility, the phenomenon of greenwashing is becoming a serious problem. The research is devoted to the creation and testing of a methodology for assessing the level of greenwashing in corporate reports using natural language processing (NLP) technologies. The analysis of annual and ESG reports of large companies makes it possible to identify linguistic features characteristic of unreliable environmental information. The methodology includes categorizing statements, evaluating their concreteness, transparency, and comparison with actual performance indicators, as well as forecasting future results and challenges. The results demonstrate the potential of NLP analysis as an effective tool for identifying discrepancies between companies' stated commitments and their actual actions in the field of sustainable development. The developed approach makes it possible to automate the verification process of companies' statements and helps to increase the reliability of non-financial reporting.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>гринвошинг (greenwashing)</kwd>
    <kwd>корпоративная отчетность</kwd>
    <kwd>обработка естественного языка (NLP)</kwd>
    <kwd>машинное обучение</kwd>
    <kwd>ESG</kwd>
    <kwd>устойчивое развитие</kwd>
    <kwd>ИИ</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>greenwashing</kwd>
    <kwd>corporate reporting</kwd>
    <kwd>natural language processing (NLP)</kwd>
    <kwd>machine learning</kwd>
    <kwd>ESG</kwd>
    <kwd>sustainable development</kwd>
    <kwd>AI</kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <p></p>
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