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  • PARENTING STYLES, LONELINESS AND PROBLEMATIC INTERNET USE AMONG ADOLESCENTS: A CROSS-SECTIONAL ANALYSIS
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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PARENTING STYLES, LONELINESS AND PROBLEMATIC INTERNET USE AMONG ADOLESCENTS: A CROSS-SECTIONAL ANALYSIS

JOURNAL OF EDUCATION CULTURE AND SOCIETY. 2025. Vol. 16. No. 1. P. 231–249.
Zulkarnain Z., Tarmidi T., Purwasih E., Nartova-Bochaver S. K.

Aim. The aim of this study is to explore the relationships between parenting styles, loneliness, and problematic internet use among adolescents, and to determine the contributions of these factors to PIU.

Methods. The study involved 529 high school students aged 15 to 18 years. Data was collected using structured questionnaires and analysed through stepwise regression to assess the impact of different parenting styles and loneliness on PIU.

Results. The study found that authoritative parenting emerged as a strong negative predictor of problematic internet use (PIU). Adolescents who experienced authoritative parenting, a style marked by high levels of both responsiveness and demand—tended to have lower levels of PIU. Conversely, authoritarian, permissive, and loneliness were identified as positive predictors of PIU.

Conclusions. These findings emphasise the importance of both parenting style and emotional well-being in influencing adolescents' internet use behaviour. Effective interventions should address these factors to help reduce PIU and promote healthier online habits. Authoritative parenting plays a significant role in reducing PIU among adolescents. Interventions that promote authoritative parenting practices and address loneliness are recommended as effective strategies for mitigating PIU.

Research target: Psychology
Language: English
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DOI
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Keywords: adolescentsparenting styleslonelinessproblematic internet useAuthoritative parentingпроблемное использование интернета
Publication based on the results of:
Psychological health: prerequisites, manifestations, prevention (2025)
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