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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Освещение выборов в Казахстане и Украине российскими СМИ

Полис. Политические исследования. 2021. № 6. С. 89–107.
Koltsova O., Юдина Д. И., Pashakhin S., Kolycheva A.

Manifestations of political bias in media coverage of political events abroad, despite a large volume of research, have been modestly investigated in two aspects. First, relevant studies nearly never examined how such coverage might be affected by conflicts between the countries whose media are studied and the countries covered by these media, as compared to non-conflict configurations. Second, systematic bias is usually seen as an attribute of a country’s media system as a whole, without attempts to investigate differences between certain media types within the same country. In this work we make a first step to cover these gaps by studying how framing of elections in a country that has no conflict with Russia (Kazakhstan) and a country that does have such conflict (Ukraine) varies in different types of the Russian media: those controlled by the state, liberal-oppositional and politically neutral. For this purpose, 30 popular online news outlets have been selected and divided into the three aforementioned types by experts. From the complete population of news published in these media, we formed a sample of 792 news items devoted to the presidential elections in Ukraine in Kazakhstan, so that all three media types would be equally represented. All news were labeled into one of three framing types: pro-government, liberal and neutral. Prevalence of one of the extreme framing types in a given group of media was considered as a manifestation of systematic bias. The research has shown that pro-government bias is observed only in one, albeit dominant, group of media outlets – those controlled by the state. In the other two groups it is the neutral frame that is prevailing, which suggests that a large fraction of the Russian audience has access to a non-pro-government way of framing international political events. However, coverage of Ukrainian and Kazakhstan elections has been found visibly different. In the coverage of Ukraine, the distribution of shares of all three frame types in all three groups of media is shifted in the pro-government direction compared to the coverage of Kazakhstan. Simultaneously, texts by the oppositional media about Kazakhstan turn out to be the only group of news where liberal frame prevails (and, therefore, the liberal bias is observed). Thus the coverage of a non-conflict country appears to be more polarized than that of a country which has a conflict with the country of the studied media. A number of interpretations for this observation is given in the paper.

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: выборыelectiontopic modelingRussian mediaроссийские СМИонлайн-медиаанализ фреймовonline mediapolitical media biassystematic bias frame analysismedia agendaполитическая пристрастность медиасистематическое смещение медиаповестка СМИ
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