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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Making Politics Attractive: Visual Memes and Exposure to Political Information in New Media Environment in Russia

International Journal of Communication. 2022.
Chmel K., Savin N., Michael X. D. C.

There is an extensive body of research devoted to how political satire affects political knowledge and political behavior. Extant studies are focused on political satire in democratic countries and do not pay enough attention to authoritarian regimes. This study extends this research to non-democratic regimes, while also adding to it by exploring the extent to which the use of political satire encourages exposure to political information. We conduct an online experiment on the sample of Russian students. We borrow satirical pictures from Lentach -- popular Russian social media public page, whose motto is ``a propaganda of common sense'' as opposed to biased political messages proliferated by government-controlled media outlets. Using both frequentist and Bayesian approaches, we found that access to political information containing satirical illustrating content increases attention to the information, relative to political news reports accompanied by standard news illustrations. The findings contribute to the literature on the political entertainment and exposure to political information, as well as to research on media under authoritarianism.

Research target: Media and Communications
Priority areas: sociology
Language: English
Full text
Keywords: РоссияRussiaавторитаризмauthoritarianismселективность восприятияpolitical satireполитическая сатираselective exposurenew media environmentновая медиа среда
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