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October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
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At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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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.

 

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Автоматическое определение интолерантности комментариев к блогам политиков на основании лексических маркеров

С. 35–38.
Фокина М. А., Дружков К. А.

The article deals with the problem of using quantitative methods to reveal intolerance in political discourse. The research is aimed to assess the possibility to use computer tools to estimate the degree of tolerance of comments in blogs of politicians. The manual marking of the comments as well as making an intolerance word list were conducted as a pre-stage to the testing of the computer programme written in Python 3.4.2. The article mentions the key data concerning the work of the programme. It is concluded that the lexical approach needs to be accompanied by machine learning.

Language: Russian
Full text
Keywords: толерантностькомпьютерная лингвистикаpolitical discoursetoleranceполитический дискурсcomputational linguisticsблоги политиковblogs of politicians

In book

Речевое воздействие в политическом дискурсе
ЧУДИНОВ А. П. Екатеринбург: Уральский государственный педагогический университет, 2016.
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