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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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Смотреть нельзя игнорировать: Какому контенту (не)готовы уделять внимание люди, избегающие новостей?

Журнал социологии и социальной антропологии. 2024. Т. 27. № 3. С. 146–167.
Kazun A. D.

This study is based on 44 semi-structured interviews with news avoiders, as well as 23 interviews with “news oscillators” — news consumers characterized by regular switches between intensive news consumption and avoidance. The findings indicate that news avoidance is positioned as a self-preservation behavior, primarily manifested through the refusal to engage with emotionally distressing topics such as violence, armed conflicts, and general political issues. Additionally, there is a reluctance to consume news perceived as biased. However, participants mentioned their willingness or obligation to consume information necessary for work or education, including neutral media coverage, sports and cultural news, as well as light and entertaining news. The social framing of agenda-setting messages also plays a significant role. If close acquaintances portray news on a particular topic as positive or enjoyable, it can encourage news avoiders to familiarize themselves with the relevant information. Nevertheless, the limited informational value of the entertainment content, which participants express readiness to consume, is unlikely to contribute to political education, shaping personal opinions, or fostering civic engagement. However, this does not imply that such news lacks functionality. It can serve as a coping mechanism during crises, allowing individuals to “disconnect” from situations beyond their influence and thereby regulate their emotional reactions.

Research target: Media and Communications Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: mediaСМИновостисамосохранительное поведениеcopingкопингмедиапотреблениеэмоциональное благополучиеmedia consumptionmental wellbeingnews avoidanceизбегание новостейhigh-choice media environmentмедиасреда с большим выборомsoft and hard newsмягкие и жесткие новости
Publication based on the results of:
Russians’ Daily Social Practices under Exogenous Shocks (2024)
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