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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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?

ERP Correlates of the Semantic Violations in the Deepfakes Containing Disinformation Regarding COVID-19: Pilot Study

P. 120–123.
Monahhova E., Morozova A., Gorodnicheva Y., Zinchenko O., Moiseeva V., Klucharev V.

The current study examined behavioral and electrophysiological responses to attitude-consistent and attitude-inconsistent auditory deepfakes on COVID-19 vaccination topic. Deepfakes portrayed Russian media- influencers (two speaker types: a prominent medical doctor and COVID-dissident), broadcasting statements opposite to their public opinion. We hypothesized that people would evaluate the trust-associated statements higher to deepfake aligning with their internal attitudes. We employed electroencephalography (EEG) to record participants' brain responses, expecting the N400-like amplitude to be more negative when hearing a manipulated audio recording (deepfake) mismatching their internal attitudes and the speaker's public opinion on the topic. Overall, 29 participants performed a pilot study: they listened to deepfakes, rated their level of agreement to trust-related statements for each recording and completed questionnaires on analytical thinking, need for cognition and tendency to conform to others. The behavioral results suggested that trust-related statements were affected by need for cognition score and speaker type. As for the EEG results, the pro-vaccination group demonstrated a delayed N400-like response to the COVID- dissident's statements mismatching her public opinion, while anti-vaccination group demonstrated a similar N400-like response to the medical doctor's deepfakes statements mismatching his public opinion, reflecting unexpected, but attitude-supportive information.

Language: English
DOI
Keywords: искусственный интеллектдовериевосприятие event-related potentialsdisinformationдезинформация ЭЭГдипфейкdeepfakeEEG (electroencephalography) artificial intelligenceВП (вызванные потенциалы)

In book

2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN)
IEEE, 2024.
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