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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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Построение смысловых связей в мультимодальном рекламном тексте: кросс-лингвистический и кросс-культурный аспекты

Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация. 2024. Т. 22. № 2. С. 54–65.
Павлина С. Ю., Карпова Ю. Н., Никольская Т. Е.

This research explores the way meaning-building works in dynamic commercial advertising texts based on the English language and the way these texts are rendered for the Russian-speaking target audience. Commercial ads are seen as multimodal texts whose function is to impact the recipients and to induce them to make the “necessary” purchasing choices. To this end, designers creatively employ linguistic resources along with impressive visual images and music.

The purpose of the study is to examine cohesive ties built among semiotically heterogeneous elements in the original multimodal advertising texts and in their translated versions.

Our research is set in the framework of Multimodal Discourse Analysis, social semiotics and multimodal translation. This empirical study explores dynamic advertising texts of leading multinational brands such as IKEA, Nike etc., focusing on a case study of the Lego ad Don’t Stop us Now (2021) and its Russian localization. The findings reveal that meaning-building in dynamic promotional texts is underpinned by the following types of cohesive ties: 1) intrasemiotic ones that exist within each semiotic mode, 2) intersemiotic ties among verbal and non-verbal elements of a multimodal text, 3) intertextual ties between an advertising text and a broad sociocultural context. For the multimodal translation to be successful all types of cohesion should be taken into consideration.

Research target: Philology and Linguistics
Language: Russian
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Keywords: intertextualityинтертекстуальностьсоциокультурный контекстcohesionsociocultural contextMultimodalityмультимодальностьdynamic advertising textmultimodal translationдинамический рекламный текстсмысловая связьмультимодальный перевод
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