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News
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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Конструирование образа Перми в комментариях социальных медиа

Культура и технологии. 2021. Т. 6. № 1. С. 26–32.
Matkin N.

There were a lot of changes during 2019 and 2020 in Perm such as transport reform, zoo construction, change of governor and mayor. All changes reflect on the image of the city, which is constructing in the residents’ mind. From one hand the image of the city is formed by media, on the other hand it depends on own experience of reality perception. Media creates a forum for discussion in social network and people show the pure opinion about topic. The collection of different opinions in comments represents the public consciousness. The purpose of the study is to determine the content and structure of the image of Perm in the public consciousness. The material of the study was the comments of subscribers of the largest urban communities of Perm in different directions. The comments were collected by keywords about the city, power and local social changes. All comments were preprocessed by special app written in Python. The most frequent n-gramms were extracted with AntConc. The methods of semantic cognitive analysis and corpus linguistics were applied to reconstruct the image of Perm. The article presents the results of the analysis of the representation of the public image of the different sides of Perm in urban communities.

Research target: Philology and Linguistics Computer Science
Language: Russian
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DOI
Text on another site
Keywords: социальные медиакорпусная лингвистикаобраз городаcorpus linguistics social mediathe image of the cityonline-комментарии comments
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