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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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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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