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News
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.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Психолингвистический анализ непрофессионального дискурса о коррупции в социальной сети в «ВКонтакте»

Мониторинг общественного мнения: Экономические и социальные перемены. 2026. № 1. С. 231–250.
Кузнецова Ю. М., Maksimenko A., Станкевич М. А., Смирнов И. В.

The article is devoted to the analysis of the non-professional online discourse on corruption presented on the social network VKontakte. Unlike the institutional or expert approach, the focus on everyday, user-generated reflection allows you to capture the deep values, forms of expression and linguistic patterns of everyday morality, which is especially important in the context of the growing importance of social networks as a source of information and the formation of public sentiment. The aim of the study was to determine the psycholinguistic characteristics of non-professional discourse on corruption, including the degree of involvement of participants, the ratio of emotional and rational components, evaluative trends and thematic focus. The empirical base consisted of 59,297 user comments, divided into three subcorps: corrupt (19,804 comments), medical (19,493 comments) and background, neutral (20,000 comments). 
Text processing was carried out using the TITANIS intelligent analysis tool, which provides multi-level identification of linguistic and semantic markers, such as emotional coloring, categoricity, stylistic orientation and frequency of thematic units. To assess the significance of the differences, the Mann-Whitney U-test was used for data close to a normal distribution and the chi-square criterion for abnormally distributed ones, while rare vocabulary markers were binarized (0 – absence, 1 – presence). The Bonferroni correction was used to prevent the first kind of error in multiple comparisons.
The results showed that unprofessional discourse on corruption is characterized by high emotional intensity, dominance of negative tone and political focus with little attention to economic issues. Discussions are characterized by decreased rationality and low communicative engagement, with frequent use of cliched expressions and radical sentences. It is shown that the unprofessional discourse on corruption demonstrates stable psycholinguistic features indicating the moral and emotional positions of the authors. The statements of the participants in the discussions on corruption are characterized by pronounced condemnation, expressions of group solidarity and contradictory moral attitudes, where anger and pessimism are combined with radical calls for justice. However, low communicative engagement and avoidance of personal experience indicate that this morality serves more as a tool for public criticism and social identification than as a basis for deep moral analysis or dialogue.

Research target: Psychology Media and Communications Philology and Linguistics
Language: Russian
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Keywords: социальные сетиобработка естественного языка social mediaотношение к коррупцииattitudes towards corruption natural language processingnon-professional discourse on corruptionpsycholinguistic indicators of the textнепрофессиональный дискурс о коррупциипсихолингвистические показатели текста
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