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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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Трансформация понятия "аудитория СМК" в отечественных научных публикациях

Медиаальманах. 2018. № 2. С. 18–26.
Sharikov A.

In the article, for the first time in Russia, the author traces the transformations of the notion of mass communication audience since its emergence in Russian scientific discourse. It is shown that this notion was preceded by the notions of “audience” and “mass audience”. The term “mass communication audience”, which appeared in the Russian language in the late 1950s, was initially associated with the notions of “mass audience” and “population”. In the mid-1970s, the concept of “non-audience” was introduced, which allowed the mass communication audience to be singled out as an independent category. In the 1980s, it was interpreted as a stable integrity formed on the basis of information needs; in the 1990s, it was defined as a “communicative commonality” and as a group of media consumers. In Russian dictionaries and encyclopedias of psychology, the definition of mass communication audience appeared only at the end of the 20th century. Among modern scientific publications in Russia, the author distinguishes at least four different approaches defining the notion of mass communication audience: psychological, sociological, communicative and “industrial” (pragmatic).

Research target: Media and Communications
Priority areas: sociology
Language: Russian
Full text
DOI
Text on another site
Keywords: массовая коммуникацияaudienceаудиторияmass communicationmass audiencemass communication audienceмассовая аудиторияаудитория средств массовой коммуникации
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