The Relation Between Social Media, Cyberbullying and Depression

Research Article
Open access

The Relation Between Social Media, Cyberbullying and Depression

Yangminhui Chen 1*
  • 1 Rutgers University    
  • *corresponding author yc1126@scarletmail.rutgers.edu
Published on 7 December 2023 | https://doi.org/10.54254/2753-7048/29/20231517
LNEP Vol.29
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-83558-173-5
ISBN (Online): 978-1-83558-174-2

Abstract

The interaction between social media and its consequences, especially cyberbullying, has become a focal point of interest in both academic and public realms. In a digital era where technology reshapes communication landscapes, this study investigates the intricate connection between social media (SM) use and how it affects young children's violent behavior and mental health. This study is motivated by the rapid integration of technology into daily life and the imperative to comprehend the implications of these changes. Just as empathy's role in moral behavior has been explored, this research delves into the connection between SM and cyberbullying, especially among youth. The omnipresence of digital platforms brings both advantages and risks, exemplified by the emergence of cyberbullying. Unlike traditional bullying, online platforms amplify its reach and severity, particularly affecting youth, who are prolific SM users. Understanding this interplay between cyberbullying, mental health (MH), and SM is crucial. By drawing on the link between empathy and moral behavior, this research seeks to explore how SM influences these dynamics in evolving digital landscape.

Keywords:

social media, cyberbullying, depression, youth

Chen,Y. (2023). The Relation Between Social Media, Cyberbullying and Depression. Lecture Notes in Education Psychology and Public Media,29,231-236.
Export citation

1. Introduction

The interplay between social media (SM), particularly cyberbullying, and its effects has captured significant attention in academic and public domains. In the context of digital platforms reshaping communication landscapes, the research investigates the intricate relationship between SM use and its impact on mental well-being and aggressive behavior. With the rapid integration of technology into daily lives, the study is motivated by the need to comprehend the implications of these changes. Just as empathy's influence on moral behavior has been explored, the research delves into the connection between SM and cyberbullying, especially among youth. The omnipresence of digital platforms in contemporary society brings both advantages and risks, notably exemplified by the emergence of cyberbullying. Transitioning from traditional bullying, online platforms magnify its reach and severity. Particularly affecting youth, prolific users of SM, cyberbullying transcends geographic boundaries. Understanding the interplay between SM, cyberbullying, and mental health (MH) is paramount. Drawing on the link between empathy and moral behavior, exploring how SM influences these dynamics becomes a timely pursuit.

Through a multidisciplinary lens, this research contributes by studying the intricate connections between SM use, cyberbullying, and their collective impact on mental well-being, especially among youth. Insights from psychology, sociology, and culture illuminate the mechanisms driving cyberbullying and its implications. Moreover, the study examines how different cultural contexts moderate the relationship between SM use and cyberbullying, highlighting the role of societal norms.

This research's significance is twofold: addressing a pressing concern in the digital era and exploring the intersections of technology, aggression, and MH. Unraveling the relationship between SM and cyberbullying informs interventions, policies, and educational programs to counteract online aggression. Just as empathy's role illuminates moral behavior, understanding mechanisms linking SM and cyberbullying empowers individuals, parents, educators, and policymakers to foster safer digital environments. In a continuously evolving digital landscape, this research serves as a guiding light to navigate technology's challenges while harnessing its potential for positive transformation.

2. Introduction to the Concept Cyberbullying and Its Effects

The advent of digital platforms, such as SM, instant messaging, and online forums, has reshaped interpersonal communication, offering both unprecedented opportunities and unforeseen challenges. Within this dynamic landscape, cyberbullying stands as a menacing manifestation of aggression that leverages these very platforms to intimidate, harass, or harm individuals. The term "cyberbullying" is defined as a deliberate and repetitive aggressive action perpetrated by a person or group who uses electronic means of communication over a sustained period. The target of such behavior is often someone who faces challenges in defending themselves against these attacks [1]. The pivotal work of Patchin and Hinduja underscores cyberbullying as a deliberate and recurring behavior that exploits the anonymity, connectivity, and reach offered by digital channels to perpetrate harm [2]. This underscores the crucial understanding that cyberbullying transcends geographic boundaries, allowing aggressors to target victims irrespective of physical proximity, with potential repercussions that extend far beyond traditional forms of bullying.

Empirical research has illuminated the alarming prevalence of cyberbullying across various demographic groups. Researchers conducted a comprehensive meta-analysis, revealing that approximately one-third of adolescents have been subjected to cyberbullying in its myriad forms [3]. This pervasive prevalence underlines the urgent need for robust interventions and preventive strategies, encapsulating both individual vigilance and systemic support. Moreover, the nuanced characteristics of cyberbullying warrant scrutiny, as the anonymity offered by the digital realm can fuel a sense of impunity, emboldening perpetrators to engage in behaviors they might not consider offline. This phenomenon, as highlighted by researchers underscores the "online disinhibition effect," where the detachment from face-to-face interaction can lead to heightened aggression and lack of inhibitions [4].

Beyond its immediate psychological toll, cyberbullying is known to exert severe emotional and psychological consequences on victims. Studies delineate the distressing outcomes of cyberbullying, including anxiety, depression, and in extreme cases, even suicidal ideation [5]. The lasting impact of these experiences, particularly during the formative years of adolescence, resonates throughout adulthood, underscoring the urgency of effective countermeasures. This underscores the intricate interplay between the digital landscape and MH, warranting a holistic approach to addressing cyberbullying's multifaceted consequences.

3. Introduction to the Concept Depression and Its Effects

Depression, a pervasive and intricate mental health disorder, has garnered substantial attention in contemporary research due to its multifaceted nature and profound impact on individuals' well-being. Depression clinically referred to as major depressive disorder, includes a variety of emotional, cognitive, and physical symptoms that seriously impair a person's ability to go about their everyday lives and live a quality existence. Building upon the comprehensive work of American Psychiatric Association, a mood condition known as depression is defined by a lack of interest or enthusiasm in once-enjoyed activities as well as persistent feelings of pessimism and despair [6]. The Manual for the Diagnostic and Statistical Treatment of Mental Illness classification provides a systematic framework for identifying and diagnosing depression, highlighting the significance of determining the timeframe, severity, and impact of symptoms on a person's general wellbeing.

The impact of depression extends beyond individual suffering, influencing societal and economic dimensions. A comprehensive analysis quantified the global economic burden of depressive disorders [7]. Their study estimated that depression accounts for a substantial portion of disability-adjusted life years (DALYs) lost worldwide, reflecting its profound impact on individuals' abilities to lead productive lives [7]. Moreover, this economic assessment underscores the necessity of prioritizing MH on global health agendas, recognizing depression as a critical public health concern.

Depression's intricate interplay with physical health has also gained prominence in recent research. A notable study examines the bidirectional relationship between depression and obesity [8]. The study discovered that depression raises the chance of obesity, and vice versa, creating a cycle of health challenges that can hinder effective management and treatment outcomes. This interconnection emphasizes the importance of adopting a holistic approach to healthcare that addresses the complex interplay between mental and physical well-being [8].

4. The Relationship Between SM and Depression

The relationship between SM use and depression has been explored from various perspectives through empirical research studies. A study conducted a systematic review focusing on adolescents, revealing a consistent relationship between higher usage of SM and increased levels of depression, anxiety, and psychological distress [9]. Employing an extensive dataset, this study characterized the research object as adolescents and utilized a systematic review approach to aggregate findings. The study analyzed multiple research articles, demonstrating the depth of research proving how using SM excessively harms MH. Similarly, another study conducted a systematic review, this time focusing on childhood and adolescence, discovered a connection between SM use and depressed symptoms, with cyberbullying and social comparison identified as key contributors. [10]. In contrast, Heffer et al. took a longitudinal approach, exploring the connection between young people's use of SM and depressive symptoms [11]. Their research revealed a bidirectional relationship, indicating that increasing SM use can result from depressive symptoms, but also vice versa. They measured SM use objectively using a comprehensive survey, providing nuanced insights into the temporal dynamics of this association.

Puukko et al. conducted a longitudinal study tracking use of SM and depressive symptoms during adolescence. This research provided evidence of a potential causal relationship, with higher SM use predicting subsequent depressive symptoms [12]. The measurement methods involved self-report questionnaires for SM use and depression, enabling a comprehensive examination of the relationship over time. Calandri et al. extended the analysis to early adolescence, exploring how gender and emotional self-efficacy affect the association between using SM and depressed symptoms. Their findings suggested that higher emotional self-efficacy mitigated the negative impact of excessive SM use. This study emphasized the significance of individual factors in shaping the relationship [13].

Contrasting these findings, A group of researchers conducted an objectively measured investigation among young adults, demonstrating that objectively assessed smartphone or SM use did not consistently predict social isolation, anxiety, or depression. This study used ecological momentary assessment to objectively measure technology use, highlighting the complexity of the relationship and the need for refined measurement methods [14].

In light of these diverse findings, a nuanced understanding emerges. Excessive and adversity on SM, such as cyberbullying and social comparison, can indeed contribute to depressive symptoms, especially among adolescents. However, the association is complex and influenced by bidirectional causality, individual vulnerabilities, and the nature of online interactions. Recognizing the potential detrimental negative repercussions of overuse of SM, especially in the context of negative experiences, is vital. Yet, a comprehensive perspective should also acknowledge positive aspects of SM, such as connection and self-expression, that can contribute to psychological well-being.

The connection between using SM and depression is intricate, influenced by various factors such as the nature of interactions, individual vulnerabilities, and bidirectional causality. Research studies from different perspectives contribute to a nuanced understanding, revealing bidirectional causality, the significance of individual traits, and the importance of measurement methods. While some studies support a consistent greater SM use is linked to depression symptoms, others highlight the complexity and context-specific nature of this relationship. As the field advances, integrating findings from various studies offers a comprehensive view, shedding light on the advantages and disadvantages of using SM for youth MH.

5. The Relationship Between SM and Cyberbullying

Cyberbullying and SM’s complex relationship, particularly among the youth, has been a subject of extensive research, offering insights into the multifaceted dynamics at play. The characteristics of the research object often encompass adolescents and young individuals who engage with SM platforms. They explored addressing cyberbullying from the adolescent victims and identified the characteristics of the research object as those who have experienced cyberbullying. Their study highlighted the negative results of cyberbullying on victims' psychological well-being and self-esteem, providing an insightful understanding of the emotional toll inflicted by online harassment [1]. Similarly, to establish the frequency and effects of cyberbullying on kids and teenagers within the setting of SM, Hamm et al. undertook a scoping review. The study characterized the research object as a broad population of children and young people engaging with SM platforms. Their findings revealed a significant prevalence of cyberbullying on various SM platforms, with adverse consequences on MH [15]. This comprehensive review provided a broader understanding of the scope and impact of cyberbullying across diverse SM environments.

Giumetti and Kowalski contributed a nuanced analysis of cyberbullying's impact on well-being, emphasizing the relevance of measurement methods in understanding this relationship. Their research analyzed the research object's well-being in the context of cyberbullying via SM. Their findings underscored the detrimental effects of cyberbullying on well-being and highlighted the significance of taking into individual variations in the interpretation and experience of online aggression [16]. Moreover, some researchers offered a comprehensive exploration of cyberbullying's impact on adolescent health. The study encompassed the research object of adolescents and assessed the broader implications of cyberbullying beyond psychological distress [17]. The findings revealed associations between cyberbullying and a variety of undesirable effects, such as depression, anxiety, and even physical health issues, providing a holistic view of the consequences of online harassment.

Collectively, these studies provide important information about the connection between cyberbullying and SM use. Although the research object varies from victims to a broader population of adolescents, the consensus is clear: cyberbullying is prevalent and profoundly impacts mental and emotional well-being. The different measurement methods, ranging from victim perspectives to comprehensive scoping reviews, enhance the understanding of the multifaceted nature of cyberbullying. Despite methodological diversity, the results consistently underscore the detrimental effects of cyberbullying, corroborating the urgency of addressing online aggression as a significant concern for individual and public health. However, limitations in some studies, such as potential biases or generalizability issues, suggest the need for ongoing research to refine the understanding and develop effective interventions against cyberbullying.

6. Discussion and Suggestion

The intricate interplay between SM, cyberbullying, and their effects has been extensively examined across various dimensions. The study clarifies the nuanced connection between digital media use and its effects on MH, especially in the context of cyberbullying. The prevailing consensus underscores the profound effect of these factors on individuals, particularly youth. Cyberbullying, a menacing manifestation of aggression facilitated by digital platforms, poses a significant threat to the victims' general well-being and MH. A thorough comprehension of both the bad and positive sides of SM interaction is required given the complicated dynamics at play.

Numerous perspectives have been used to examine the relationship between SM use and depression, revealing nuanced insights into the association. Empirical evidence demonstrates a consistent link between excessive leveraging SM and increased depressive symptoms, anxiety, and psychological distress among youth. However, the relationship is characterized by bidirectional causality, highlighting the connection between increased SM use, and increased depressed symptoms. Individual vulnerabilities, nature of interactions, and contextual factors further influence this intricate association. Understanding these complexities is paramount for mitigating potential risks and harnessing the benefits of SM use for psychological well-being.

Similarly, the exploration of cyberbullying's relationship with SM has shed light on the profound consequences of online harassment. Victims, predominantly adolescents, face emotional and psychological distress, with potential long-term repercussions on MH. The prevalence of cyberbullying underscores the need for targeted interventions to create safer online environments for youth. The research findings underscore the urgent necessity for policies, education, and assistance programs that address the damaging consequences of cyberbullying on MH.

In light of the research conducted, several avenues for future exploration emerge. First, longitudinal research can provide light on the long-term impacts of online interactions on psychological well-being and help us better understand the connection between SM use, cyberbullying, and MH. Further research can also delve into the role of online peer support and positive digital interactions in buffering the negative effects of cyberbullying. Additionally, looking into how SM use, cyberbullying, and MH differ according on culture can offer a cross-cultural perspective on the phenomenon. Comparative studies across different societies can reveal the influence of cultural norms and values on the prevalence and impact of cyberbullying.

Furthermore, the development of effective interventions and strategies to prevent and mitigate cyberbullying's adverse effects is imperative. Exploring the efficacy of educational programs, online monitoring tools, and MH support systems can provide practical insights into creating safer online spaces for youth. As technology continues to evolve, learning how SM, cyberbullying, and MH interact remains a pressing concern. Ongoing research efforts can help refine the comprehension of these relationships, guiding the development of proactive measures to ensure the well-being of individuals, particularly the youth, in the digital age.

7. Conclusion

In the ever-evolving landscape within SM, cyberbullying, and MH, a complex tapestry of interactions unfolds, necessitating a comprehensive exploration. This research illuminates the imperative to navigate the intricate nuances inherent in these dynamics, recognizing the multifaceted impacts that utilizing SM can have on mental well-being. In particular, the emergence of cyberbullying as a potent form of aggression within the digital realm casts a shadow over the MH of individuals, notably the vulnerable youth demographic. By acknowledging the intricate interaction of SM, cyberbullying, and MH, we pave the way for effective interventions, policies, and educational initiatives that cultivate secure online environments.

As the digital landscape evolves at a rapid pace, the imperative to comprehend these dynamics becomes even more pressing. This understanding not only allows people to address current challenges but also equips people to harness technology's potential for positive change. By weaving together, the threads of empirical evidence, psychological insights, and societal implications, Society foster an environment where technology serves as a conduit for connectivity, empowerment, and well-being.

In conclusion, this research journey has illuminated the intricate web that connects SM, cyberbullying, and MH. The complex interplay of these factors underscores the importance of holistic approaches that balance the advantages and pitfalls of digital platforms. As continuing navigate the ever-shifting landscape of technology, one truth remains clear: learning how SM, cyberbullying, and MH interact is not just a scholarly pursuit, but a societal responsibility. By doing so, people can usher in an era where technology and well-being coexist harmoniously, fostering a digital world that nurtures the human spirit while safeguarding MH for all.


References

[1]. Dredge, R., Gleeson, J., & de la Piedad Garcia, X. (2014). Cyberbullying in social networking sites: An adolescent victim’s perspective. Computers in Human Behavior, 36, 13–2.

[2]. Patchin, J. W., & Hinduja, S. (2006). Bullies Move Beyond the Schoolyard: A Preliminary Look at Cyberbullying. Youth Violence and Juvenile Justice, 4(2), 148–16.

[3]. Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. Psychological bulletin, 140(4), 1073–113.

[4]. Suler, J. (2004). The Online Disinhibition Effect. CyberPsychology & Behavior, 7(3), 321–32 .

[5]. Hinduja, S., & Patchin, J. W. (2010). Bullying, cyberbullying, and suicide. Archives of suicide research : official journal of the International Academy for Suicide Research, 14(3), 206–22.

[6]. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5). American Psychiatric Pub.

[7]. Chisholm, D., Sweeny, K., Sheehan, P., Rasmussen, B., Smit, F., Cuijpers, P., ... & Saxena, S. (2016). Scaling-up treatment of depression and anxiety: a global return on investment analysis. The Lancet Psychiatry, 3(5), 415-42.

[8]. de Wit, L., Luppino, F., van Straten, A., Penninx, B., Zitman, F., & Cuijpers, P. (2010). Depression and obesity: a meta-analysis of community-based studies. Psychiatry research, 178(2), 230–23.

[9]. Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1), 79–9.

[10]. McCrae, N., Gettings, S. & Purssell, E. (2017). Social Media and Depressive Symptoms in Childhood and Adolescence: A Systematic Review. Adolescent Res Rev 2, 315–33.

[11]. Heffer, T., Good, M., Daly, O., MacDonell, E., & Willoughby, T. (2019). The Longitudinal Association Between Social-Media Use and Depressive Symptoms Among Adolescents and Young Adults: An Empirical Reply to Twenge et al. Clinical Psychological Science, 7(3), 462–47.

[12]. Puukko, K., Hietajärvi, L., Maksniemi, E., Alho, K., & Salmela-Aro, K. (2020). Social media use and depressive symptoms—a longitudinal study from early to late adolescence. International Journal of Environmental Research and Public Health, 17(16), 1–1.

[13]. Calandri, E., Graziano, F., & Rollé, L. (2021). Social Media, Depressive Symptoms and Well-Being in Early Adolescence. The Moderating Role of Emotional Self-Efficacy and Gender. Frontiers in Psychology, 12, 660740–66074.

[14]. Sewall, C. J. R., Goldstein, T. R., Wright, A. G. C., & Rosen, D. (2022). Does Objectively Measured Social-Media or Smartphone Use Predict Depression, Anxiety, or Social Isolation Among Young Adults? Clinical Psychological Science, 10(5), 997–101.

[15]. Hamm, M. P., Newton, A. S., Chisholm, A., Shulhan, J., Milne, A., Sundar, P., Ennis, H., Scott, S. D., & Hartling, L. (2015). Prevalence and Effect of Cyberbullying on Children and Young People: A Scoping Review of Social Media Studies. JAMA Pediatrics, 169(8), 770–77.

[16]. Giumetti, G. W., & Kowalski, R. M. (2022). Cyberbullying via social media and well-being. Current Opinion in Psychology, 45, 101314–.

[17]. Nixon, C. L. (2014). Current perspectives: the impact of cyberbullying on adolescent health. Adolescent Health, Medicine and Therapeutics, 5(default), 143–158.


Cite this article

Chen,Y. (2023). The Relation Between Social Media, Cyberbullying and Depression. Lecture Notes in Education Psychology and Public Media,29,231-236.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2nd International Conference on Interdisciplinary Humanities and Communication Studies

ISBN:978-1-83558-173-5(Print) / 978-1-83558-174-2(Online)
Editor:Enrique Mallen, Javier Cifuentes-Faura
Conference website: https://www.icihcs.org/
Conference date: 15 November 2023
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.29
ISSN:2753-7048(Print) / 2753-7056(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).

References

[1]. Dredge, R., Gleeson, J., & de la Piedad Garcia, X. (2014). Cyberbullying in social networking sites: An adolescent victim’s perspective. Computers in Human Behavior, 36, 13–2.

[2]. Patchin, J. W., & Hinduja, S. (2006). Bullies Move Beyond the Schoolyard: A Preliminary Look at Cyberbullying. Youth Violence and Juvenile Justice, 4(2), 148–16.

[3]. Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. Psychological bulletin, 140(4), 1073–113.

[4]. Suler, J. (2004). The Online Disinhibition Effect. CyberPsychology & Behavior, 7(3), 321–32 .

[5]. Hinduja, S., & Patchin, J. W. (2010). Bullying, cyberbullying, and suicide. Archives of suicide research : official journal of the International Academy for Suicide Research, 14(3), 206–22.

[6]. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5). American Psychiatric Pub.

[7]. Chisholm, D., Sweeny, K., Sheehan, P., Rasmussen, B., Smit, F., Cuijpers, P., ... & Saxena, S. (2016). Scaling-up treatment of depression and anxiety: a global return on investment analysis. The Lancet Psychiatry, 3(5), 415-42.

[8]. de Wit, L., Luppino, F., van Straten, A., Penninx, B., Zitman, F., & Cuijpers, P. (2010). Depression and obesity: a meta-analysis of community-based studies. Psychiatry research, 178(2), 230–23.

[9]. Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1), 79–9.

[10]. McCrae, N., Gettings, S. & Purssell, E. (2017). Social Media and Depressive Symptoms in Childhood and Adolescence: A Systematic Review. Adolescent Res Rev 2, 315–33.

[11]. Heffer, T., Good, M., Daly, O., MacDonell, E., & Willoughby, T. (2019). The Longitudinal Association Between Social-Media Use and Depressive Symptoms Among Adolescents and Young Adults: An Empirical Reply to Twenge et al. Clinical Psychological Science, 7(3), 462–47.

[12]. Puukko, K., Hietajärvi, L., Maksniemi, E., Alho, K., & Salmela-Aro, K. (2020). Social media use and depressive symptoms—a longitudinal study from early to late adolescence. International Journal of Environmental Research and Public Health, 17(16), 1–1.

[13]. Calandri, E., Graziano, F., & Rollé, L. (2021). Social Media, Depressive Symptoms and Well-Being in Early Adolescence. The Moderating Role of Emotional Self-Efficacy and Gender. Frontiers in Psychology, 12, 660740–66074.

[14]. Sewall, C. J. R., Goldstein, T. R., Wright, A. G. C., & Rosen, D. (2022). Does Objectively Measured Social-Media or Smartphone Use Predict Depression, Anxiety, or Social Isolation Among Young Adults? Clinical Psychological Science, 10(5), 997–101.

[15]. Hamm, M. P., Newton, A. S., Chisholm, A., Shulhan, J., Milne, A., Sundar, P., Ennis, H., Scott, S. D., & Hartling, L. (2015). Prevalence and Effect of Cyberbullying on Children and Young People: A Scoping Review of Social Media Studies. JAMA Pediatrics, 169(8), 770–77.

[16]. Giumetti, G. W., & Kowalski, R. M. (2022). Cyberbullying via social media and well-being. Current Opinion in Psychology, 45, 101314–.

[17]. Nixon, C. L. (2014). Current perspectives: the impact of cyberbullying on adolescent health. Adolescent Health, Medicine and Therapeutics, 5(default), 143–158.