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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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Public agenda fragmentation beyond established democracies: the case of Russian online publics in 2017

The Russian Journal of Communication. 2021. Vol. 13. No. 3. P. 305–324.
Pashakhin S.

New media introduce mechanics in the news consumption and deliberation of public agenda capable of disrupting the democratic process’s normative assumptions (echo chambers, filter bubbles). However, most research has been concerned with cases from Western Europe and the US. In this paper, we examine the fragmentation of the Russian public sphere online. We build on previous works with evidence on networked connections between segments of the online public sphere. We collected news items (N = 210,197) and metadata of 12 news outlets with offline and online reach posted on the largest Russian-language platform during one year (2017). Following a computational approach based on topic modeling and qualitative reading, we match the network segments with their news agendas. Although we do not find evidence of fragmentation, we find divergencies in their agendas. We discuss these findings and their contribution to the discussion of fragmentation of publics and agendas in the digital environment.

Research target: Sociology (including Demography and Anthropology Media and Communications
Language: English
DOI
Text on another site
Keywords: public spheresocial mediafragmentationRussian media systemagendas
Publication based on the results of:
Modeling individuals behavior and socio-psychological characteristics based on multimodal digital traces (2021)
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