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Subject
News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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.

 

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Индекс актуальности темы профессионального выгорания

Социальная психология и общество. 2026. Т. 17. № 1. С. 166–182.
Zavertiaeva M. A., Naidenova I. N., Kireecheva A.

Context and relevance. Occupational burnout is a significant socio-economic problem that requires regular monitoring. The questionnaires traditionally used for the measurement of burnout are labour-intensive and irregular, making them unsuitable for macro-level monitoring. By analogy with media-based indices in other fields, this study treats the intensity of burnout mentions as an indicator of the its public salience, with the aim of contributing to a more comprehensive understanding of the phenomenon.

Objective. The objective is to develop and test a media-based index of burnout salience in Russian news, and to assess its applicability for social monitoring and interregional comparisons.

Methods and materials. Data were obtained from the Medialogia analytics system, which covers approximately 105000 media outlets. The sample spans 2015—2025 and comprises over 30000 publications. To test the robustness of the index, alternative indices are constructed: one based on top outlets and one restricted to psychology-related news. Additionally, we conduct a regional analysis (normalised by population) and perform topic modelling of headlines using BERTopic.

Results. During the study period, the index increased steadily, going beyond its initial level by more than 100 times by 2025. Peaks were observed in July 2019, April and December 2021, and September—November 2024. External validation shows strong agreement with user interest and alternative index specifications. We identified leading regions based on the intensity of mentions and thematic clusters of coverage.

Conclusions. The index is suitable for rapid social monitoring and interregional comparisons, and is based on a transparent, scalable methodology. This paper outlines potential avenues for further use by researchers, practitioners and public authorities.

Research target: Social Sciences
Language: Russian
DOI
Text on another site
Keywords: профессиональное выгораниеmass mediaпсихологическое благополучиеСМИтематическое моделирование regional analysis региональный анализ psychological well-being professional burnoutagenda-setting theorythematic modelingmedia indexmonitoring of public interestмедиаиндексмониторинг общественного интересатеория установления повестки дня
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