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Subject
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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Effects of Partisan Personalization in a News Portal Experiment

Public Opinion Quarterly. 2020. Vol. 84. No. S1. P. 216–235.
Bryanov K., Watson B., Pingree R., Santia M.

What happens when news aggregators tailor their newsfeeds to include partisan news aimed at users with a known party preference? Relying on a custom-made news portal featuring real, timely articles, this study examines the influence of partisan news sources on participant headline exposure, clicks on news stories to read, and perceptions about the portal’s ability to reliably and comprehensively provide the most important news of the day. Over a period of 12 days, participants preferring either the Republican or Democratic party were randomly assigned to newsfeeds containing increased dosages of real news articles from sources supportive of the participant’s preferred party. Results demonstrate that partisan personalization can benefit a news aggregator by increasing usage and perceptions of its quality, while potentially harming society by decreasing attention to high-quality mainstream sources.

Research target: Media and Communications
Priority areas: sociology
Language: English
Full text
DOI
Text on another site
Keywords: personalizationDigital MediaRecommender Systemsnews aggregatorspartizan media
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