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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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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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