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  • «Чужие выборы»: новости соседнего государства о выборах президента РФ в 2018 г.
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News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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«Чужие выборы»: новости соседнего государства о выборах президента РФ в 2018 г.

Экономическая социология. 2021. Т. 22. № 1. С. 71–91.
Kazun A. D., Pashakhin S.

News media tend to reflect voices in the political establishment while cov-ering international events. Is it still true when almost half of the national audience speak the language of the country featured in the coverage? In this paper, we present an analysis of 19.5k news messages collected from Russian-language Ukrainian news outlets covering the 2018 presidential elections in Russia. Using a mixed-method approach (topic modeling and qualitative reading), we identify key topics and stories and evaluate the ex-tent of personalization in the election coverage. We find three central angles: the focus on polls and election results, election preparations in Crimea, and Vladimir Putin’s victory. The elections are linked predominantly to Crimean issues through the date of the elections, each candidate’s stance on the sub-ject, the election management in the region, and other countries’ reactions to the results. Such coverage has an accusatory bias; it stresses the legal status of the Crimean referendum and the Russian authorities’ actions and reports the pressures on locals by authorities, especially the Crimean Tatars. Not linked directly to Crimea, other angles are less emotionally charged. Political personalization of the discussion has a contradictory nature. On one hand, the overwhelming majority of the messages mention public figures. On the other hand, the coverage of the figures is limited and omits their traits. More-over, at times, public figures are replaced by non-personalized symbols (e.g., Kremlin, Russian invaders). However, if the former’s coverage is predomi-nantly neutral, the latter’s coverage is more prone to negative and loaded statements.

Research target: Media and Communications Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
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DOI
Text on another site
Keywords: медиаmedianewsновостиtopic modelingвыборы Президента РФтематическое моделированиеCrimea2018 Russian presidential electionsполитическая персонализацияpolitical personalization
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