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  • ФЕЙКИ И ОСОБЕННОСТИ ИХ РАСПРОСТРАНЕНИЯ В СМИ И СОЦИАЛЬНЫХ СЕТЯХ В ПЕРИОД ИНФОДЕМИИ, ВЫЗВАННОЙ COVID-19
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Subject
News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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?

ФЕЙКИ И ОСОБЕННОСТИ ИХ РАСПРОСТРАНЕНИЯ В СМИ И СОЦИАЛЬНЫХ СЕТЯХ В ПЕРИОД ИНФОДЕМИИ, ВЫЗВАННОЙ COVID-19

С. 326–340.
Maksimenko A., Дейнека О. С., Духанина Л. Н.

In the article, the authors analyze the nature of the genesis and features of the spread of false information under the coronavirus infection COVID-19’s outbreak. An original classification of fakes distributed during the period of infodemia with an attempt to identify beneficiaries of media activity, indicators of fake information, as well as the summary of the most famous models for the spread of fake information on social networks, is given

Language: Russian
Full text
Text on another site
Keywords: социальные медиамифотворчество social mediafakeфейкинфодемияinfodemicmyth-making information terrorismинформационный терроризмCOVID-19COVID-19

In book

European Scientific Conference: сборник статей XX Международной научно-практической конференции
European Scientific Conference: сборник статей XX Международной научно-практической конференции
Пенза: МЦНС "Наука и просвещение", 2020.
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The 2019 Coronavirus disease outbreak leads to negative psychological outcomes not only for healthcare workers and patients, but also for the general public. S. Hobfoll’s Conservation of Resources theory is one of the most applicable models for conceptualizing and evaluating natural and social catastrophes and their impact. A web-based screening has been conducted at the ...
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Artificial intelligence, drug repurposing and peer review
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The COVID-19 pandemic has transformed the way scientific and clinical results are shared and disseminated. According to a recent analysis, an average of 367 COVID-19 papers are being published every week, with a median time from submission to acceptance of just 6 days (compared with 84 days for non-COVID-19 content)1. These unprecedented peer review turnaround ...
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Added: February 25, 2026
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Added: February 22, 2026
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