Launched in 2005, YouTube has evolved into the world's premier video-sharing platform, where viewers can access content created by media personalities known as YouTubers. Today, it stands as the foremost streaming platform and the second most used search engine globally, while fostering numerous social media communities. Recent reports from Statista (2023) indicate that YouTube boasts almost 2.5 billion monthly active users, solidifying its status as one of the most popular digital platforms.
While YouTube lacks some of the social networking functionality found on traditional platforms, it is best classified as a content community within the realm of social media sites (Kuss & Griffiths, 2017). Unlike Social Network Sites (SNS), which primarily focus on fostering relationships between users, YouTube is focused on content viewing and it is characterized by the development of parasocial relationships—defined as asymmetrical connections between media users and performers—that play a central role in shaping the platform's dynamics. The concept of parasocial relationships is considered close to real-life relationships, as the human brain has difficulties in distinguishing between them (Kanazawa, 2002). In this context, parasocial relationships with YouTubers can have a relevant influence on the excessive or addictive use of YouTube (de Beráil et al., 2019), as individuals may feel emotionally connected to their favorite content creators and seek constant engagement with their content.
Similar to SNS, the success of YouTube is accompanied by the development of addictive behaviors toward the website (Klobas et al., 2018). To increase user engagement, YouTube applies a complex set of rules and data in a real-time feedback loop to curate videos for viewers through its home page and recommended videos algorithms. These algorithms select and position videos based on the likelihood of being watched, ultimately optimizing long-term viewer engagement. Thanks to these features, YouTube has been found to meet three of the four needs for gratification proposed by Gan (2016) that drive the choice of social media:
Recent research suggests the diverse ways in which utilizing YouTube appropriately can positively influence mental health outcomes and contribute to the well-being of individuals facing mental health challenges
However, despite its potential benefits, compulsive or excessive use of YouTube poses risks and problems that must be addressed, especially concerning vulnerable users such as children, teenagers, and young adults. These users are exposed to a wide range of content recommended by YouTube, which can have detrimental effects on their mental health. For example, exposure to inappropriate or harmful content may increase their risk of experiencing anxiety, depression, or other mental health issues. It is crucial to address these risks and implement measures to protect vulnerable users from potential harm.
While research on the psychological impact of YouTube is still relatively new, initial studies have begun to uncover the negative effects associated with compulsive use of the platform. It is important to note that spending more than two hours a day on YouTube is likely to increase psychological risks (Klobas et al., 2018). These risks may include heightened levels of anxiety, depression, and other mental health issues, particularly among vulnerable populations such as adolescents and young adults:
Both male and female users of YouTube are particularly likely to exhibit poorer mental health and well-being across a range of indicators. For instance, Di Cara et al. (2022) found that YouTube users are more likely to report high levels of depression and suicidal thoughts compared to users of other social media platforms such as Facebook, Twitter, Instagram, and Snapchat. Similarly, Keating and Rudd-Arieta (2021) identified a strong association between YouTube use and the glorification/normalization of suicide. Furthermore, Khasawneh et al. (2020) found that direct exposure to videos about the Blue Whale challenge can normalize and reinforce self-harming and suicidal behaviors, especially among vulnerable populations such as adolescents.
Moreover, an association between YouTube behavior and depression and/or anxiety has been observed among college students (Zhang et al., 2020) and young adults aged between 18 and 30 years (Kircaburun et al., 2021). Additionally, research by Klobas et al. (2018) suggests that users with a tendency toward anxiety and neuroticism are at a slightly higher risk of compulsive YouTube use, while de Bérail et al. (2019) found that users with social anxiety may exhibit more addictive behaviors toward YouTube.
Overall, the emerging body of research suggests a complex and bidirectional relationship between YouTube compulsive use and mental health, particularly anxiety and depression. On one hand, individuals with preexisting anxiety or neurotic tendencies may be more susceptible to compulsive use of YouTube, potentially exacerbating their symptoms over time. On the other hand, prolonged exposure to YouTube content may contribute to heightened levels of anxiety, depression and suicidal ideation among users. This bidirectional relationship underscores the need for comprehensive research and proactive interventions to address the mental health implications of YouTube use.
.webp)
The findings from Gharani et al. (2021) suggest that YouTube users aged 25–44 years, with a high school education level or less, and who are single or never married, experience high levels of loneliness. Similarly, Kircaburun et al. (2021) found associations between YouTube use and loneliness among young adults aged between 18 and 30 years.
The development of parasocial relationships between content creators and followers on YouTube raises concerns about its potential impact on users' mental health. To mitigate loneliness and promote positive mental health, it is recommended that individuals limit their time on YouTube and seek out other forms of social interaction (Balcome & Leo, 2023).
Moreover, sedentary behaviors, such as excessive social media use, can detract from face-to-face social interaction, further exacerbating feelings of loneliness and social isolation. Therefore, it is essential for individuals to strike a balance between online and offline social activities to maintain their overall well-being.
Overall, these findings highlight the importance of understanding the implications of YouTube use on mental health, particularly in relation to loneliness, and stress the need for further research and interventions to address these issues.
Given the potential negative effects of inappropriate YouTube use on the emotional well-being of its users, it is essential to provide recommendations for promoting healthy YouTube habits:
See Also: The Effects of Facebook, Instagram and TikTok on Mental Health
Balcombe, L. & Diego De Leo, D. (2023). The Impact of YouTube on Loneliness and Mental Health. Informatics, 10(2), 39. DOI: https://doi.org/10.3390/informatics10020039
Chandrasekaran, R., Konaraddi, K., Sharma, S.S., & Moustakas, E. (2024). Text-Mining and Video Analytics of COVID-19 Narratives Shared by Patients on YouTube. Journal of Medical Systems, 48(21). DOI: https://doi.org/10.1007/s10916-024-02047-1
Choi, B., Kim, H.;, & Huh-Yoo, J. (2021). Seeking Mental Health Support Among College Students in Video-Based Social Media: Content and Statistical Analysis of YouTube Videos. JMIR Formative Research, 5, e31944. DOI: https://doi.org/10.2196/31944
de Bérail, P.; Guillon, M.; Bungener, C. (2019). The relations between YouTube addiction, social anxiety and parasocial relationships with YouTubers: A moderated-mediation model based on a cognitive-behavioral framework. Computers in Human Behavior, 99, 190–204. DOI: https://doi.org/10.1016/j.chb.2019.05.007
Di Cara, N.H., Winstone, L., Sloan, L., Davis, O.S.P. & Haworth, C.M.A. (2022). The mental health and well-being profile of young adults using social media. NPJ Mental Health Research, 1, 1–11. DOI: https://doi.org/10.1038/s44184-022-00011-w
Gharani, P., Ray, S., Aruru, M., & Pyne, S. (2021). Differential Patterns of Social Media Use Associated with Loneliness and Health Outcomes in Selected Socioeconomic Groups. Journal of Technology in Behavioral Science, 6, 535–544. DOI: https://doi.org/10.1007/s41347-021-00208-4
Gan, C. (2016). Gratifications for using social media: A comparative analysis of Sina Weibo and WeChat in China. Information Development, 32(4), 1109–1119. DOI: http://dx.doi.org/10.1177/0266666915591298
Jung, E.J. & Kim, S. (2021) Suicide on YouTube: Factors engaging viewers to a selection of suicide-themed videos. PLoS ONE, 16, e0252796. DOI: https://doi.org/10.1371/journal.pone.0252796
Kanazawa, S. (2002). Bowling with our imaginary friends. Evolution and Human Behavior, 23(3), 167-171. DOI: https://doi.org/10.1016/S1090-5138(01)00098-8
Khasawneh, A., Chalil Madathil, K., Dixon, E., Wiśniewski, P., Zinzow, H. & Roth, R. (2020). Examining the Self-Harm and Suicide Contagion Effects of the Blue Whale Challenge on YouTube and Twitter: Qualitative Study. JMIR Mental Health, 7(6): e15973. DOI: https://doi.org/10.2196/15973
Keating, S.R., & Rudd-Arieta, M. (2021). Emerging Adults’ Attitudes and Beliefs About Suicide and Technology/Social Media. The Journal for Nurse Practitioners, 17, 833–839. DOI: https://doi.org/10.1016/j.nurpra.2021.04.010
Kircaburun, K., Balta, S., Emirtekin, E., Betül Tosuntas, S. , Demetrovics, Z. & Griffiths, M.D. (2021). Compensatory Usage of the Internet: The Case of Mukbang Watching on YouTube. Psychiatry Investigation,18(4), 269-276. DOI: https://doi.org/10.30773/pi.2019.0340
Klobas, J.E., McGill, T.J., Moghavvemi, S., & Paramanathan, T. (2018). Compulsive YouTube usage: A comparison of use motivation and personality effects. Computers in Human Behavior, 87, 129-139. DOI: https://doi.org/10.1016/j.chb.2018.05.038
Kuss, D.J., & Griffiths, M.D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311. DOI: https://doi.org/10.3390/ijerph14030311
Lam, N.H.T. & Woo, B.K.P. (2019). YouTube as a New Medium for Dementia Education Among Chinese Americans. Community Mental Health Journal, 56, 435–439. DOI: https://doi.org/10.1007/s10597-019-00493-7
Lam, N.H.T., Ta-Hsiang Tsiang, J., & Woo, B.K.P. (2017). Exploring the Role of YouTube in Disseminating Psychoeducation. Academic Psychiatry 41, 819–822. DOI: https://doi.org/10.1007/s40596-017-0835-9
Lotun, S., Lamarche, V.M., Samothrakis, S., Sandstrom, G.M. & Matran-Fernandez, A. (2022). Parasocial relationships on YouTube reduce prejudice towards mental health issues. Scientific Reports, 12, 16565. https://doi.org/10.1038/s41598-022-17487-3
Monks‑Woods, A. & Panoraia, A. (2022). A Phenomenological Investigation of Experiences of People Who Use YouTube to Access Support for Borderline Personality Disorder. Psychological Studies. DOI: https://doi.org/10.1007/s12646-023-00781-z
Naslund, J.A., Grande, S.W., Aschbrenner, K.A. & Elwyn, G. (2014). Naturally Occurring Peer Support through Social Media: The Experiences of Individuals with Severe Mental Illness Using YouTube. PLOS ONE 9(10): e110171. DOI: https://doi.org/10.1371/journal.pone.0110171
Naslund, J.A., Aschbrenner, K.A., Marsch, L.A., & Bartels, S.J. (2016) The future of mental health care: Peer-to-peer support and social media. Epidemiology and Psychiatric Sciences, 25, 113–122. DOI: https://doi.org/10.1017/S2045796015001067
Sangeorzan, I., Andriopoulou, P. & Livanou, M. (2018). Exploring the experiences of people vlogging about severe mental illness on YouTube: An interpretative phenomenological analysis. Journal of Affective Disorders, 246, 422-428. DOI: DOI: https://doi.org/10.1016/j.jad.2018.12.119
Woloshyn, V. & Savage, M.J. (2020). Features of YouTubeTM videos produced by individuals who self-identify with borderline personality disorder. Digital Health, 6, 1–11. DOI: https://doi.org/10.1177/2055207620932336
Zhang, B., Zaman, A., Silenzio, V., Kautz, H., & Hoque, E. (2020). The Relationships of Deteriorating Depression and Anxiety with Longitudinal Behavioral Changes in Google and YouTube Use During COVID-19: Observational Study. JMIR Mental Health, 7, e24012. DOI: https://doi.org/10.2196/24012