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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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Репрезентация районов Москвы в территориальных интернет-сообществах в социальной сети «ВКонтакте»

Вестник Московского университета. Серия 10: Журналистика. 2025. Т. 50. № 2. С. 33–56.
Tikhonova I., Kozhemyakin E.

Social media are not only a platform for discussing pressing issues, exchanging opinions and informing, but also a means of representation of urban areas. The content (posts and comments) of urban Internet communities contains linguistic markers that indicate how communicators describe and interpret the local characteristics of the district. The article presents the results of the study of the peculiarities of the representation of metropolitan districts in the content of Moscow communities in the VK social network. The authors have conducted a corpus analysis of the array of records and comments on public pages and groups of six Moscow districts that differ in socio-economic characteristics. It was revealed that the dominant semantic components of the representation of Moscow districts are those that express the territorial features of the location, as well as behavioural aspects of life in the district. In the communities of the capital's post-industrial cluster the main aspect of identity representation is also cultural. It is also noted that the nature of neighbourhood representation is the type of Internet community (managed publicks or groups controlled mainly by subscribers), which determines not so much thematic as content and meaning differences between the content of these social media.

Research target: Media and Communications
Language: Russian
DOI
Text on another site
Keywords: социальные сетиsocial networksurban areasmedia representation of the cityмедиарепрезентация городагородские районы
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