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  • Президентские выборы в Турецкой Республике в информационном пространстве стран Балканского полуострова: медиагеографический анализ
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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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Президентские выборы в Турецкой Республике в информационном пространстве стран Балканского полуострова: медиагеографический анализ

Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика. 2025. Т. 30. № 1. С. 161–171.
Мулина А. А., Якова Т. С.

The article presents the results of a study of the information space of the Balkan states conducted during the presidential elections in Turkey (2023): the authors referred to this period as one of the most striking political events in the country over the past five years. The purpose of the proposed work is to identify the level of interest in Turkey's domestic political events both from residents of the Balkan countries and from the national media of Serbia, Croatia and Bosnia and Herzegovina, as well as to compare the data obtained and identify a correlation between them. It is hypothesized that the inhabitants of the Balkan states pay great attention to the issues of Turkey's foreign and domestic policy. The level of interest of residents of these states is revealed based on the analysis of big data in the spatial-temporal coordinate system (media geographic approach). Ranking and media metric analysis made it possible to trace the dynamics of changes in the number of requests on the topics "Turkey" and "Recep Tayyip Erdogan" (the main markers of the presidential race). The results of the second stage of the study (content analysis of publications of the national mass media of Serbia, Croatia and Bosnia and Herzegovina) allowed us to compare the results of the two stages of the analysis. The authors conclude that Internet users of the Balkan states did not show significant interest in the political life of the Republic of Turkey and considered the country more as a place for tourism and recreation, while the national media of this region turned much more often to the political life of Turkey than to other topics.

Language: Russian
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Keywords: ТурцияБалканыбольшие данныеbig datathe BalkansмедиагеографияRepublic of Turkey
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