CYBERSECURITY IN ONLINE SOCIAL NETWORKS: EFFECTS OF BASIC ASPIRATIONS AND EMOTIONS OF YOUTH

Authors

DOI:

https://doi.org/10.28925/2663-4023.2026.33.1140

Keywords:

set-theoretical approach, basic aspirations, basic emotions, online social networks, cybersecurity, cyber hygiene, informational and psychological influences

Abstract

The article presents the results of a comprehensive theoretical and empirical study of the interaction of the triad of basic aspirations (curiosity, search activity, play) with the background of basic emotions (fear, sadness, elation, anger, surprise, disgust) in students and high school students when using online social networks. The relevance of the work is due to the need to take into account psychological factors in cybersecurity systems and counteraction to information and psychological influences. The theoretical foundations of the study are substantiated. The constructed theoretical and multiple model of basic aspirations and emotions of students and high school students confirmed its effectiveness as a tool for formalizing complex psychological phenomena (the results showed the presence of stable patterns in the intersections of the corresponding basic aspirations; in a number of intersections, differences within 3-10% were recorded, which indicates the variability of individual emotional manifestations depending on the position of the mental act and the specificity of the aspiration). The constructed set-theoretic model of the quantitative and percentage ratio of manifested basic aspirations in students and pupils in subsets allowed us to formalize the features of the emotional and motivational behavior of young people when visiting online social networks, as well as: to carry out a comparative analysis of the intensity of the manifestation of the corresponding aspirations in two close age groups; to establish the degree of their similarity or differences in percentage terms. In the drop-down list of elements of the intersection of subsets included in sets A (basic aspirations) and B (basic emotions), the most typical combinations of aspirations and emotions in students and high school students when using online social networks were ranked. The constructed correlation diagrams of the effects of basic aspirations (curiosity, search activity, game) of students and high school students allow us to identify similarities in their motivational structure when using online social networks: the indicators of curiosity in both groups are identical (34%), which indicates the dominance of the cognitive motive regardless of educational status; search activity and game demonstrate minimal differences (1%), which confirms the statistical closeness of the distribution of aspirations (search activity - students (34%), students (33%); game - students (32%), students (33%)). Prospects for further research are primarily related to expanding the empirical base. It is advisable to conduct additional anonymous surveys while maintaining the representativeness of the sample to clarify the statistical parameters of the identified effects, in particular: mathematical expectation, variance and confidence intervals. This will allow us to check the stability of the obtained patterns, to validate them for different age, social and cultural groups of users. The results confirm the feasibility of using a set-theoretic approach to analyze the psychological components of cybersecurity. The identified dependencies create a theoretical basis for predicting behavioral risks, improving cyber hygiene systems and developing innovative technologies for protecting users in cyberspace.

Downloads

Download data is not yet available.

References

Lahti, H., Kokkonen, M., Hietajärvi, L., Lyyra, N., & Paakkari, L. (2024). Social media threats and health among adolescents: Evidence from the Health Behaviour in School-aged Children study. Child and Adolescent Psychiatry and Mental Health, 18(1), 1-12. https://doi.org/10.1186/s13034-024-00754-8

Livingstone, S. (2024). Reflections on the meaning of “digital” in research on adolescents’ digital lives. Journal of Adolescence, 101, 886-891. https://doi.org/10.1002/jad.12322

McAlister, K. L., Beatty, C. C., Smith-Caswell, J. E., Yourell, J. L., & Huberty, J. L. (2024). Social media use in adolescents: Bans, benefits, and emotion regulation behaviors. JMIR Mental Health, 11, e64626. https://doi.org/10.2196/64626

Chang, V., Golightly, L., Xu, Q. A., Boonmee, T., & Liu, B. S. (2023). Cybersecurity for children: An investigation into the application of social media. Enterprise Information Systems. https://doi.org/10.1080/17517575.2023.2188122

Vishtak, I., Maidanevych, L., & Herkaliuk, I. (2025). Internet addiction among students: Symptoms, consequences, and coping methods. Pedahohika bezpeky, 10(2), 92-102. https://doi.org/10.31649/2524-1079-2025-10-2-092-102

Livingstone, S., Cantwell, N., Özkul, D., Shekhawat, G., & Kidron, B. (2024). The best interests of the child in the digital environment. Digital Futures for Children. https://www.digital-futures-for-children.net/digitalfutures-assets/digitalfutures-documents/Best-Interests-of-the-Child-FINAL.pdf

Eliza, F., Fadli, R., Hidayah, Y., Ramadhan, M. A., Yassin, A., Setyawan, M. B., & Sutrisno, S. (2024). Building a secure digital future: Investigating cyber hygiene levels of accounting, finance, and business students. Data and Metadata, 3. https://doi.org/10.56294/dm2024.554

Collier, H., & Morton, C. (2024). Teenagers: A social media threat vector. In International Conference on Cyber Warfare and Security, 19(1), 55-61. https://doi.org/10.34190/iccws.19.1.1980

Kozubtsova, L., Lishchyna, V., & Kozubtsov, I. (2025). From awareness to management: The concept of human risks in the cybersecurity system. Cybersecurity: Education, Science, Technique, 2(30), 360-373. https://csecurity.kubg.edu.ua/index.php/journal/article/view/895

Aristotle. (2003). Politics (O. Kysliuk, Trans.). Osnovy.

Twenge, J. M., Haidt, J., Joiner, T. E., & Campbell, W. K. (2020). Underestimating digital media harm. Nature Human Behaviour, 4, 346-348. https://doi.org/10.1038/s41562-020-0839-4

Nesi, J., Rothenberg, W., Bettis, A., Massing-Schaffer, M., Fox, K., Telzer, E., Lindquist, K., & Prinstein, M. (2021). Emotional responses to social media experiences among adolescents: Prospective associations with depressive symptoms. Journal of Clinical Child & Adolescent Psychology, 51(6), 907-922.

Zhu, C., Huang, S., Evans, R., & Zhang, W. (2021). Cyberbullying among adolescents and children: A systematic review. Frontiers in Public Health, 9, 634909. https://doi.org/10.3389/fpubh.2021.634909

Paryente, B. (2024). Adolescents’ perspectives on coping with bullying in the digital environment. Adolescents, 4(2), 248-262. https://doi.org/10.3390/adolescents4020018

Lee, A. Y., Katz, R., & Hancock, J. (2021). The role of subjective construals on reporting and reasoning about social media use. Social Media + Society, 7(3), 20563051211035350. https://doi.org/10.1177/20563051211035350

Piccerillo, L., & Digennaro, S. (2024). Adolescent social media use and emotional intelligence: A systematic review. Adolescent Research Review. https://doi.org/10.1007/s40894-024-00245-z

Manches, A., & Plowman, L. (2021). Smart toys and children’s understanding of personal data. International Journal of Child-Computer Interaction, 30, 100333. https://doi.org/10.1016/j.ijcci.2021.100333

Feldbusch, J., Pavliv, V., Akbari, N., & Wagner, I. (2024). No transparency for smart toys. In M. Jensen, C. Lauradoux, & K. Rannenberg (Eds.), Privacy Technologies and Policy (APF 2024) (Lecture Notes in Computer Science, Vol. 14831). Springer. https://doi.org/10.1007/978-3-031-68024-3_11

Hidayat, Z., Permatasari, C., & Mani, L. (2022). Cyber violence and bullying in online game addiction: A phenomenological study. Journal of Theoretical and Applied Information Technology,100(5), 1428-1440.

Hu, Y., Evelyn, S., Clancy, E., & Klettke, B. (2025). Player versus player: A systematic review of cyberbullying in multiplayer online games. Computers in Human Behavior Reports, 18, 100675. https://doi.org/10.1016/j.chbr.2025.100675

Dharejo, N., Alivi, M. A., Rahamad, M. S., Jiaqing, X., & Brony, M. (2023). Effects of social media use on adolescent psychological well-being: A systematic literature review. International Journal of Interactive Mobile Technologies, 17(20), 171-191. https://doi.org/10.3991/ijim.v17i20.44663

Agyapong-Opoku, N., Agyapong-Opoku, F., & Greenshaw, A. (2025). Effects of social media use on youth and adolescent mental health: A review. Behavioral Sciences, 15(5), 574. https://doi.org/10.3390/bs15050574

Alsabhan, W. (2023). Human-computer interaction with real-time speech emotion recognition using ensembling techniques 1D convolution neural network and attention. Sensors, 23, 1386. https://doi.org/10.3390/s23031386

Wu, Y., Mi, Q., & Gao, T. (2025). A comprehensive review of multimodal emotion recognition: Techniques, challenges, and future directions. Biomimetics, 10(7), 418. https://doi.org/10.3390/biomimetics10070418

Quayyum, F., Cruzes, D. S., & Jaccheri, L. (2021). Cybersecurity awareness for children: A systematic literature review. International Journal of Child-Computer Interaction, 30, 100343. https://doi.org/10.1016/j.ijcci.2021.100343

Makoshi, S. M. (2025). Detecting deception with emotion: The role of emotional AI in combating social engineering attacks. Authorea. https://www.authorea.com/users/937154/articles/1307555

Schutz, A., & Luckmann, T. (2004).The structures of the life-world.Ukrainian Center of Spiritual Culture.

Petryk, V. M., Prysiazhniuk, M. M., Kompantseva, L. F., Skulysh, Y. D., Boiko, O. D., & Ostroukhov, V. V. (2023). Suggestive technologies of manipulative influence (2nd ed.). SKIF Publishing House.

Lande, D. V., Subach, I. Y., & Boiarynova, Y. Y. (2018). Fundamentals of the theory and practice of data mining in the field of cybersecurity. ISZZI KPI.

Downloads


Abstract views: 4

Published

2026-06-25

How to Cite

Maidanevych, L. (2026). CYBERSECURITY IN ONLINE SOCIAL NETWORKS: EFFECTS OF BASIC ASPIRATIONS AND EMOTIONS OF YOUTH. Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique», 1(33), 461–480. https://doi.org/10.28925/2663-4023.2026.33.1140