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Subject
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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Избегание новостей: понятие, причины и факторы распространения

Коммуникации. Медиа. Дизайн. 2024. Т. 9. № 3. С. 28–55.
Kazun A. D.

This article provides an overview of studies on news avoidance. The widespread nature of this phenomenon makes it crucial to examine not only how the information we consume affects public opinion, but also how the lack of news consumption influences people's perspectives. News avoidance is a multifaceted phenomenon. There are intentional and unintentional forms of avoidance, as well as complete and partial avoidance. The extent of this phenomenon is also measured in various ways. Depending on the research methodology, news avoiders may include those who self-identify as such, those who consume news below a certain threshold, or those who do not consume news from any source on a wide list. All this makes it challenging to quantify the prevalence of news avoidance. The reasons for rejecting news content are specific to the high-choice media environment, which can lead to information overload. The negative bias of news is also significant, as it increases the emotional cost of consuming news and encourages avoidance to protect mental well-being. The individual characteristics of information consumers also play a role. Women, young people, and those with lower levels of education are more likely to avoid news. Reducing the consumption of information content can be achieved by regulating the timing of news consumption (avoiding news at work, checking news only twice a day, etc.) or by managing the information environment (disabling push notifications, uninstalling news apps, etc.).

Research target: Media and Communications Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Language: Russian
Full text
Text on another site
Keywords: новостимедиапотреблениеinformation overloadинформационная перегрузкаmedia consumptionnews avoidanceизбегание новостейhigh-choice media environmentмедиасреда с большим выборомnews fatigueanalysis paralysisусталость от новостейаналитический паралич
Publication based on the results of:
Russians’ Daily Social Practices under Exogenous Shocks (2024)
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