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News
September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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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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