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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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Who’s Bad? Attitudes Toward Resettlers From the Post-Soviet South Versus Other Nations in the Russian Blogosphere

International Journal of Communication. 2017. Vol. 11. P. 3242–3264.
Svetlana S. Bodrunova, Koltsova O., Sergey Koltcov, Sergey Nikolenko

Communication in social media is increasingly being found to reproduce or even reinforce ethnic prejudice and hostility toward migrants. In Russia of the 2010s, with its world’s second largest immigrant population, polls have detected high levels of hostility of the Russian population toward migranty (migrants), a label attached to resettlers from Central Asia and the Caucasus. We tested the online hostility hypothesis by using the data of 363,000 posts from the Russian-language LiveJournal. We applied data mining, regression analysis, and selective interpretative reading to map bloggers’ attitudes toward migranty, among other ethnicities and nations. Our findings significantly alter the picture drawn from the polls: Migranty neither provoke the biggest amount of discussion nor experience the worst treatment in Russian blogs, in which Americans take the lead. Furthermore, Central Asians and North Caucasians are treated very differently.

Research target: Sociology (including Demography and Anthropology Mathematics Philology and Linguistics
Priority areas: humanitarian IT and mathematics
Language: English
Full text
Text on another site
Keywords: Russiaethnic studiesmigrantsblogospheretopic modelingbig data
Publication based on the results of:
Разработка концепции и методологии многоуровневого мониторинга состояния межнациональных отношений по данным социальных сетей (2017)
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