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  • Первая «волна» пандемии коронавируса как свидетельство «странного» аттрактора в российском сегменте медиапространства
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News
June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Первая «волна» пандемии коронавируса как свидетельство «странного» аттрактора в российском сегменте медиапространства

Вестник Московского университета. Серия 10: Журналистика. 2022. № 6. С. 149–177.
Yefanov A.

The article substantiates the first "wave" of the coronavirus pandemic as a "strange" attractor from the standpoint of influencing the structure of the Russian media space segment. Using a synergistic approach, the author considers the media space as a system that at the turn of the 2010-2020s is in the bifurcation stage, as a result of which there is a loss of its balance, susceptibility to structural transformations through "smooth" attractors – largely controlled and predictable "goals of evolution" of a linear nature. Based on the use of interdisciplinary tools and a set of methods, it is concluded that the coronavirus pandemic, in particular, its first "wave", which took place in the spring and summer of 2020, has become both a factor and a catalyst for structural changes in the Russian media space segment. Representing a form of a "strange" attractor, the first "wave" of the coronavirus pandemic initially impulsively led to a non-linear development of the Russian media space segment as a system, causing largely atypical transformations (at the level of media production and media consumption), subsequently (by the time of its recession), on the contrary, intensifying media communication trends of the so-called "pre-pandemic" era.

Research target: Media and Communications
Language: Russian
DOI
Text on another site
Keywords: телевидениемедиапространствоInternettelevisionmedia space advertisingmedia market рекламамедиарынокИнтернетcoronavirusкоронавируспандемияpandemic
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