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<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2408-9338</journal-id><journal-title-group><journal-title>Research result. Sociology and Management</journal-title></journal-title-group><issn pub-type="epub">2408-9338</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2408-9338-2019-5-1-0-9</article-id><article-id pub-id-type="publisher-id">1667</article-id><article-categories><subj-group subj-group-type="heading"><subject>SOCIOLOGY OF MANAGEMENT AND SOCIAL TECHNOLOGIES</subject></subj-group></article-categories><title-group><article-title>Foreign-language websites and social media networks of universities: factors for increasing their competitiveness</article-title><trans-title-group xml:lang="en"><trans-title>Foreign-language websites and social media networks of universities: factors for increasing their competitiveness</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Moskovkin</surname><given-names>Vladimir M.</given-names></name><name xml:lang="en"><surname>Moskovkin</surname><given-names>Vladimir M.</given-names></name></name-alternatives><email>moskovkin@bsu.edu.ru</email><xref ref-type="aff" rid="aff1" /></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Yavei</surname><given-names>Liu</given-names></name><name xml:lang="en"><surname>Yavei</surname><given-names>Liu</given-names></name></name-alternatives></contrib></contrib-group><aff id="aff1"><institution>Belgorod State National Research University</institution></aff><pub-date pub-type="epub"><year>2019</year></pub-date><volume>5</volume><issue>1</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/sociology/2019/1/109-138.pdf" /><abstract xml:lang="ru"><p>The article presents a binary matrix for the availability of foreign-language websites and accounts on social media networks, messengers and apps for 72 universities of the Central Federal District of the Russian Federation, which were included in the Expert RA and Interfax rankings 2017. The analysis of the first matrix has made it possible to obtain a distribution of universities targeting different countries or groups of countries. For example, the classical universities of Belgorod, Voronezh, Kursk (South-West State University), Peoples&amp;#39; Friendship University, Moscow Power Engineering Institute and Moscow State Linguistics University are most interested in cooperation with scientific and educational organizations in Latin America and enrollment of Spanish-speaking students from those countries. There have been identified Central Federal District universities of the Russian Federation, which have the largest number of accounts in social networks, messengers and applications. On the basis of these matrices there has been obtained aggregated indicators on the presence of foreign-language websites and social networks for the subjects of the Central Federal District of the Russian Federation, which has been proposed to be included in the intangible assets of the regions that affect regional university competitiveness. The article shows the urgency of developing strategic programs for managing university reputation with the help of Internet tools and presents the main sections of such programs.

Information for citation: Moskovkin, V.&amp;nbsp;M. and Yavei, L. (2019), &amp;ldquo;Foreign-language websites and social media networks of universities: factors for increasing their competitiveness&amp;rdquo;, Research Result. Sociology and management, 5 (1),&amp;nbsp;&amp;nbsp;109-138, DOI: 10.18413/2408-9338-2019-5-1-0-9

&amp;nbsp;</p></abstract><trans-abstract xml:lang="en"><p>The article presents a binary matrix for the availability of foreign-language websites and accounts on social media networks, messengers and apps for 72 universities of the Central Federal District of the Russian Federation, which were included in the Expert RA and Interfax rankings 2017. The analysis of the first matrix has made it possible to obtain a distribution of universities targeting different countries or groups of countries. For example, the classical universities of Belgorod, Voronezh, Kursk (South-West State University), Peoples&amp;#39; Friendship University, Moscow Power Engineering Institute and Moscow State Linguistics University are most interested in cooperation with scientific and educational organizations in Latin America and enrollment of Spanish-speaking students from those countries. There have been identified Central Federal District universities of the Russian Federation, which have the largest number of accounts in social networks, messengers and applications. On the basis of these matrices there has been obtained aggregated indicators on the presence of foreign-language websites and social networks for the subjects of the Central Federal District of the Russian Federation, which has been proposed to be included in the intangible assets of the regions that affect regional university competitiveness. The article shows the urgency of developing strategic programs for managing university reputation with the help of Internet tools and presents the main sections of such programs.

Information for citation: Moskovkin, V.&amp;nbsp;M. and Yavei, L. (2019), &amp;ldquo;Foreign-language websites and social media networks of universities: factors for increasing their competitiveness&amp;rdquo;, Research Result. Sociology and management, 5 (1),&amp;nbsp;&amp;nbsp;109-138, DOI: 10.18413/2408-9338-2019-5-1-0-9

&amp;nbsp;</p></trans-abstract><kwd-group xml:lang="ru"><kwd>university foreign language websites</kwd><kwd>university social networks</kwd><kwd>Internet</kwd><kwd>university competitiveness</kwd><kwd>regional intangible assets</kwd><kwd>Webometrics</kwd><kwd>autoposting</kwd><kwd>binary matrix</kwd></kwd-group><kwd-group xml:lang="en"><kwd>university foreign language websites</kwd><kwd>university social networks</kwd><kwd>Internet</kwd><kwd>university competitiveness</kwd><kwd>regional intangible assets</kwd><kwd>Webometrics</kwd><kwd>autoposting</kwd><kwd>binary matrix</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Babin, E.&amp;nbsp;N. and Redko, N.&amp;nbsp;V. 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