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July 2, 2026
Researchers Discover How Spelling Errors Slow Down Reading in Russian
Psycholinguists from the Centre for Language and Brain at HSE University–St Petersburg have shown that words that are frequently misspelled are processed more slowly by readers, even when presented with the correct spelling. The researchers confirmed this effect for the first time using Russian-language materials and found that response speed is most strongly linked to how confidently individuals can distinguish the correct spelling of a word from an incorrect one. The study has been published in The Mental Lexicon.
July 2, 2026
HSE Develops App for Assessing Phonological Processing in Children
Researchers at the HSE Centre for Language and Brain have developed a new digital tool for assessing children's phonological processing skills—the ZARYA (Sound Analysis of the Russian Language) test battery. It is the first standardised application in Russia designed to provide a fast and reliable assessment of children's ability to distinguish speech sounds, retain them in working memory, and perform phonemic analysis. The app runs on Android tablets and smartphones and is available for download from RuStore. Details of the test validation have been published in the Journal of Speech, Language, and Hearing Research.
July 1, 2026
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Periods of high uncertainty: How fertility intentions in Russia changed during 2022–2023

Demographic Research. 2025. Vol. 52. P. 939–970.
Vakulenko E., Gorskiy D., Kondrateva V., Trofimenko I.

BACKGROUND

We study fertility intentions change in Russia, during the period of socio-economic shocks in 2022-2023, in response to the Russia-Ukraine armed conflict.

OBJECTIVE

Our objective is to identify factors that influence decision-making in a low fertility context during the crisis, including both objective characteristics and subjective assessment of the current situation.

METHODS

This paper is based on unique survey results, conducted in May 2023 (N=7,967). The sample includes Russian citizens aged 18-44 and represents Russia’s population by gender, age, and place of residence. The analysis is based on binary choice models (probit) and machine learning techniques (Honest trees), which was applied for assessing the heterogeneity of the sample.

RESULTS

The most important factors, which accounted for 76 percent of the explained variance, were linked to a subjective assessment of the situation and the respondent’s emotional state: the attitude to the political course of the country, feelings of happiness, anxiety, or fear. Traditional objective characteristics such as the age of respondents, marital status, and parenthood status play a less important role. We also found that women's fertility decisions are more associated with positive emotions such as happiness and peacefulness in comparison to men. We observe that subjective factors related to politics, conflict and emotions amplify each other's effects.

CONCLUSIONS

We indicate that in times of uncertainty, trust in state policy plays an important role in smoothing the population’s reaction to the shocks.

CONTRIBUTION

We provide a novel quantitative investigation into the role of subjective perceptions in shaping reproductive intentions during a period of high uncertainty in a low fertility rate country through econometric and ML tools, expand the group of factors which measure subjective perceptions including different emotions, attitudes to the country’s political course and government maternity capital programs, and show how they accelerate each other.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: English
Full text
DOI
Keywords: машинное обучениеRussiaопросmachine learningрепродуктивные намерениясубъективные оценкиreproductive intentionsSubjective perceptions Россияsocio-economic shockssample surveyсоциально-экономические шокиnarratives of the futureнарративы будущего
Publication based on the results of:
Life Choices: Factors and Mechanisms for Making Key Decisions at Different Life Stages (2024)
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