Artificial Intelligence | 2021

The impact of social media on young web users’ psychological well-being during the COVID-19 pandemic progression

 
 
 
 
 

Abstract


Aim. The present study empirically investigates and theoretically substantiates the results of the impact of social media on young web-users’ psychological well-being during the forced self-isolation caused by the progression of the COVID-19 pandemic (N = 254). Materials and methods. Standardized valid psycho-diagnostic methods, the author’s questionnaire (A.\xa0Hudimova, 2021), correlation and factor analyses were used to identify young web users’ patterns of social media involvement during the forced self-isolation. Results. The results show that during the global COVID-19 pandemic, young web users give preference for passive social media use rather than for communication. The obtained results showed an expansion in the time spent via social media by young web users. It was found that the progression of the COVID-19 pandemic is accompanied by the participants’ experience of negative emotions and fears of the unknown (r = .204; p <.01). It is substantiated that increasing immersion of young web users in social media is a kind of strategy to escape from bad thoughts (r = .271; p\xa0<.01). Significantly, it is stated that uncontrolled use of social media causes sleep disorders during isolation (r = .444; p <.01). Conclusions. The study proves that young people spend almost all day online due to the obsessive pattern of social media involvement and/or procrastination, which often provokes withdrawal syndrome upon the attempt to distract from them. The lack of controlled time spending on social media during self-isolation provokes an exacerbation of anxiety, apathy, depressed mood, and a sense of isolation from social reality. The obtained results provide evidence that the causal relations of passive social media use provoke an exacerbation of feelings of alienation, disrupt the healthy rhythm of sleep, and psychological state of young web-users during the progression of the COVID-19 pandemic.

Volume 10
Pages 50-61
DOI 10.34069/AI/2021.39.03.5
Language English
Journal Artificial Intelligence

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