Teenagers’ Digital Security: Sociological Analysis

Introduction. The growing amount of personal data posted by users about themselves and other people on social media platforms, the intensification of user-generated content collection for machine learning determines the relevance of the research. The impact of new digital tools on users’ online safety strategies needs to be scrutinized. The focus of the work is on adolescents, who represent one of the most risky groups. The aim of the study is to determine teenagers’ perceptions of concerns related to their personal data and to compare them in two different Russian regions. Materials and Methods. The empirical base is represented by the data of a sociological study conducted in 2023–2024 by online survey among schoolchildren of grades 8–11 in two Russian regions – the Republic of Mordovia and the Donetsk People’s Republic. The sample is quota-based, representing each of the regions separately. Results. Nearly half of respondents have some concerns about the collection of personal data. Most of them have negative attitudes towards their data and content being exposed to large datasets and used for machine learning. Teenagers fear that their data will be used for criminal purposes as well as financial loss. They believe that the surest way to ensure digital security is not to share their personal data unless it is necessary. Discussion and Conclusion. The materials of the article can be used to develop educational programs and practical recommendations aimed at improving digital literacy and formation of conscious practices of personal data protection among teenagers. This is especially important in the current conditions of hybrid warfare and the spread of fraudulent activities in virtual space.

Authors

Institutions

Publication Details

Journal
Integration of Education
Published
2025-03-21
DOI
https://doi.org/10.15507/1991-9468.029.202501.114-131
Primary Topic
Sociopolitical Dynamics in Russia
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Teenagers’ Digital Security: Sociological Analysis

Сергей Геннадьевич Ушкин, Ekaterina А. Koval, Marina D. Martynova
Integration of Education
Sociopolitical Dynamics in Russia
article

Teenagers’ Digital Security: Sociological Analysis

Сергей Геннадьевич Ушкин, Ekaterina А. Koval, Marina D. Martynova
article en

Abstract

Introduction. The growing amount of personal data posted by users about themselves and other people on social media platforms, the intensification of user-generated content collection for machine learning determines the relevance of the research. The impact of new digital tools on users’ online safety strategies needs to be scrutinized. The focus of the work is on adolescents, who represent one of the most risky groups. The aim of the study is to determine teenagers’ perceptions of concerns related to their personal data and to compare them in two different Russian regions. Materials and Methods. The empirical base is represented by the data of a sociological study conducted in 2023–2024 by online survey among schoolchildren of grades 8–11 in two Russian regions – the Republic of Mordovia and the Donetsk People’s Republic. The sample is quota-based, representing each of the regions separately. Results. Nearly half of respondents have some concerns about the collection of personal data. Most of them have negative attitudes towards their data and content being exposed to large datasets and used for machine learning. Teenagers fear that their data will be used for criminal purposes as well as financial loss. They believe that the surest way to ensure digital security is not to share their personal data unless it is necessary. Discussion and Conclusion. The materials of the article can be used to develop educational programs and practical recommendations aimed at improving digital literacy and formation of conscious practices of personal data protection among teenagers. This is especially important in the current conditions of hybrid warfare and the spread of fraudulent activities in virtual space.

Integration of EducationVol. 29(1)
National Research Mordovia State University (RU)
Openalex Percentile: Top 93%
Sociopolitical Dynamics in Russia
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.