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News
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.
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.

 

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Практики использования технологии дипфейк в современных аудиовизуальных медиа: этические рестрикции

Человек. 2026. Т. 37. № 2. С. 67–82.
Yefanov A.

The article presents the practices of using deepfake technology in modern audiovisual media (television, cinema, internet) by referring to the most resonant cases. Appealing to the conducted by the author results of semi-structured expert interviews (n = 15) with media communications analysts, case study and socio-cultural modeling methods, ethical restrictions of such audiovisual solutions are established. Theoretical and methodological basic research is based on focusing the concept of professional ethics of a journalist (D.S. Avraamov) and a critical approach to the ethics of artificial intelligence (B.C. Stahl, D. Schroeder, R. Rodrigues). Based on the results of the conducted research, the author’s definition of the concept of ethical restrictions as objectified limitations arising from the contradiction of intensifying socio-cultural (including socio-technical) tendencies to moral principles is proposed at the theoretical level. At the empirical level, insufficient compliance with existing documents in the field of communications, media and journalism for regulating deepfake technology is recorded as a problem of media communications, manifesting itself as a kind of challenge, thereby determining the process of codification. In this regard, provisions containing recommendations for regulating the use of deepfake technology in audiovisual media are being proposed, which in turn could form the basis for an updated regulatory document requiring development – the Code of Ethics for Modern Media Communications. It is emphasized that the substantive content of the Code of Ethics for Modern Media Communications should be the subject of broad, multi-layered discussion by the professional and expert community – representatives of the media industry and academia. Such a model will facilitate the harmonious development of professional culture and, consequently, media culture.

Research target: Media and Communications Philosophy, Ethics, and Religious Studies
Language: Russian
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Keywords: рекламаэтикакинотелевидениеискусственный интеллектadvertisingcinematelevisionethicsrestrictionsдипфейкdeepfake artificial intelligenceaudiovisual mediaаудиовизуальные медиарестрикции
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