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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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Медийные социальные представления о пандемии во французских СМИ

Вестник Московского университета. Серия 10: Журналистика. 2024. № 2(49). С. 48–67.
Radina N., Bannikov K.

The article is devoted to media social representations, a theoretical construct of media research from the socio-psychological field. Media social representations are forms of groupthink, formed by media discourse, revealing patterns and clichés for representing reality. The article aims to present an algorithm for reconstructing media social representations based on computational linguistics. It was suggested that semantically similar terms used by journalists when creating texts create different media social representations, i.e. the choice of a signifying term entails a certain discursive frame in the representation of reality. To test the hypothesis, the media social representations “pandémie”, “coronavirus”, “COVID-19” were reconstructed using the material of the French publications Le Monde, Le Figaro and Le Parisien (2020–2022; 58 432 texts). It turned out that in French media discourse the media social representation of “pandemic” is focused on objective threats, the media social representation of “coronavirus” reconstructs the psychological struggle with danger, and the media social representation of “COVID-19” reproduces the atmosphere of despair and panic. Thus, semantically close signifiers (“coronavirus”, “COVID-19” and “pandemic”) created different media social representations, allowing, through the linguistic and psychological resources of naming, to create different worlds of the pandemic

Research target: Philology and Linguistics Media and Communications
Language: Russian
DOI
Text on another site
Keywords: медиадискурскоммуникативистикаmedia discourseLe MondeLe FigaroLe ParisienLe MondeLe FigaroLe Parisienmedia social representationscommunicative studiesмедийные социальные представления
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