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  • Невежливые коммуникативные практики как инструмент создания сообществ в комментариях к спортивным новостям
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News
June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Невежливые коммуникативные практики как инструмент создания сообществ в комментариях к спортивным новостям

СибСкрипт. 2023. Т. 25. № 4. С. 481–490.
Shulginov V., Алянский К. А.

Conflict discourse studies provide a valuable insight into linguistic and sociocultural ideologies of online communities. They also may offer effective approaches to linguistic detoxification. This research featured online communication of sport fans. Their discourse is interdiscursive, possesses a certain netiquette, and reflects the social and ideological diversity within the community. The authors explored common speech strategies aimed at threatening the social identity of outsiders or at the acquisition of power. The material involved an array of comments posted on Sports.ru: each example was tested for speech aggression, and the conflict-marked comments were described from the strategy perspective. The sampling relied on the general intention and expressive vocabulary aimed at the addressee. The frequency distribution of impoliteness strategies revealed that users often tended to assert power through personal characterization of their opponents, e.g., agism, sarcasm, hypercorrect speech behavior, identity attacks via derogatory team nominations, etc. The analysis identified various conflict strategies employed to form derogatory nominations, as well as defined the socio-cultural characteristics that marked the addressee as a target of conflict-laden speech behavior.

Research target: Philology and Linguistics Humanities
Language: Russian
DOI
Keywords: конфликтconflictвежливостьpoliteness
Publication based on the results of:
Discourse practices of Russian society: Diversity and Dynamics (2023)
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