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News
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.
June 17, 2026
Population Lifespan Is Governed by Mathematical Laws
Researchers at HSE University and MSU have established a universal law governing the time to extinction of a population in a random environment. Their analysis of the evolution of branching processes—complex probabilistic systems—shows that, regardless of the initial population size, extinction follows strict mathematical laws. The results have been published in the Journal of Applied Probability.

 

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Grade inflation and grading process: Does faculty workload matter?

Journal of Applied Research in Higher Education. 2024. Vol. 16. No. 5. P. 1937–1955.
Ternikov A., Blyakher M.

Purpose

This paper focuses on the factors related to faculty workload in the context of resource scarcity to examine whether there is a relationship between them and grade inflation.

Design/methodology/approach

As for methodological novelty, the authors created an indicator of students' expectations about grades that is related to grade inflation and conducted regression analysis using cluster-robust error correction based on this indicator.

Findings

The results suggested that proper workload allocation among the faculty can mitigate grade inflation. Namely, such measures as control for concurrent courses, the length of courses and the labor intensity of the faculty are suggested for grade inflation prevention.

Originality/value

Academic literature posits that a steep increase in average grades might cause a long-term depreciation of the quality of higher education. This article is, therefore, focused on various factors connected with grade inflation in higher education. The authors highlighted problems associated with teaching evaluation imperfections, academic norm transformation and workload intensity.

Research target: Education
Language: English
Full text
DOI
Keywords: учебная нагрузкарегрессионный анализregression analysisинфляция оценокGrade inflationLenient gradingTeaching effort
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