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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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Перспективные направления исследований потребления новостей в контексте медиасреды с большим выбором

Вестник Московского университета. Серия 10: Журналистика. 2024. № 2. С. 3–47.
Kazun A. D.

The high-choice media environment has transformed the process of news consumption. This article attempts to map out the field of contemporary news consumption research and identify trends that deserve further study. The following promising areas of research have been identified: (1) choice from an excess number of options, (2) new media repertoires and styles of news consumption, (3) unintentional news consumption, (4) the problem of false, incomplete and unreliable information, (5) media fragmentation, (6) crisis of trust in news. For each of these areas, a conceptual framework is proposed in Russian and English, as well as aspects that can be focused on and examples of research questions are identified. In addition, the article pointed out two more general problems. First, the need to reconceptualize many of the terms that were originally proposed for traditional media and have lost clarity and unambiguity within the high-choice media environment. Secondly, the importance of abandoning normativism and evaluativeness when considering new trends in media consumption. This article may be useful for forming a general understanding of the current state of research on news consumption, as well as when planning your own research – choosing a topic, stating a problem and searching for relevant literature.

Research target: Media and Communications Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Language: Russian
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Text on another site
Keywords: медиаnewsновостимедиапотреблениефрагментация медиаландшафтафрагментация аудиторииinformation overloadинформационная перегрузкаfake newsфейковые новостиmedia consumptiondoomscrollingnews avoidanceдумскроллингизбегание новостейincidental news consumptionnews finds meслучайное потребление новостейновости находят меняhigh-choice media environmentмедиасреда с большим выбором
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