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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Социальное сравнение в ряду фундаментальных понятий социальных наук: аналитический обзор исследовательского поля

Вестник Института социологии. 2026. Т. 17. № 1. С. 232–255.
Oganyan A.

This work presents a broad review of the history, theory, methods, and findings of research on social comparison (SC). It sequentially examines the evolution of understanding SC from the philosophical works of D. Hume and I. Kant to the first systematic theory by L. Festinger explaining the connection between comparison, self-esteem, and group processes, and further to contemporary models that interpret SC as a process with specific causal mechanisms and behavioral consequences. Special attention is paid to the conceptual relationship of SC with reference groups and social identity. Despite the dominance of an individualistic focus in contemporary models, SC was initially considered an integral part of group dynamics, structured through social norms and status differences between groups. The role of status and intergroup relations is analyzed in detail within the framework of social identity theories, demonstrating that SC simultaneously supports group cohesion and manifests differently under conditions of intergroup competition versus intragroup solidarity. A separate section of the article is devoted to the methodological diversity of SC research. Alongside classical experimental methods, attention is also given to the potential of network analysis for studying SC as a product of natural social interactions in offline and online environments, contemporary diary methods enabling detailed examination of the daily dynamics of comparison, and survey experiments that scale causal analysis to representative samples and cost-effective instruments. The work concludes with a brief overview of empirical results demonstrating the impact of SC on psychological well-being in social media, subjective perception of material status, conspicuous consumption, risk propensity, and prosocial practices, considering the contextual variability of these effects. Particular attention is drawn to SC in the moral sphere, where comparing oneself to others shapes moral judgments and moral self-evaluation. Such research is currently scarce, offering researchers an opportunity not only to fill an empirical gap but also to trace more deeply how comparative processes directly influence the reproduction of social order. Thus, the review reveals the potential for interdisciplinary expansion of SC research, opening new avenues for analyzing a wide range of social phenomena.

Research target: Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: сетевой анализсоциальные наукисоциальная идентичностьморальсоциальные медиаmoralityмеждисциплинарностьsocial identitysocial sciencesреферентные группыreference groups social mediaсоциальное сравнениеsocial comparisoninterdisciplinarySocial network analysis (SNA)
Publication based on the results of:
The diversity of forms, effects and barriers to integration of modern Russian society in synchronic and diachronic dimensions (2025)
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