<p>Cyberbullying, a pervasive issue within online social networks (<i>OSN</i>s), poses a significant threat to the well-being of children and adolescents. As online social media usage continues to rise, with platforms such as Facebook, Instagram, and Twitter integrating deeply into daily life, the incidence and impact of cyberbullying have become critical areas of concern. This paper explores the evolution of <i>OSN</i>s and their role in facilitating cyberbullying, highlighting the psychological, emotional, and social repercussions on young users. Through a comprehensive review of current literature and statistical data, we examine the various manifestations of cyberbullying, including harassment, racism, and other forms of online abuse. The paper also evaluates existing solutions to detect and mitigate cyberbullying, ranging from general preventative measures to advanced machine learning and artificial intelligence-based techniques. By identifying the limitations of current approaches and suggesting avenues for future research, this study aims to develop more effective strategies to combat cyberbullying and protect future generations from its detrimental effects.</p>

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A Review on Cyberbullying and Its Impact on Future Generations

  • Utsav Seth,
  • Sandeep Ravikanti,
  • Jay Dave

摘要

Cyberbullying, a pervasive issue within online social networks (OSNs), poses a significant threat to the well-being of children and adolescents. As online social media usage continues to rise, with platforms such as Facebook, Instagram, and Twitter integrating deeply into daily life, the incidence and impact of cyberbullying have become critical areas of concern. This paper explores the evolution of OSNs and their role in facilitating cyberbullying, highlighting the psychological, emotional, and social repercussions on young users. Through a comprehensive review of current literature and statistical data, we examine the various manifestations of cyberbullying, including harassment, racism, and other forms of online abuse. The paper also evaluates existing solutions to detect and mitigate cyberbullying, ranging from general preventative measures to advanced machine learning and artificial intelligence-based techniques. By identifying the limitations of current approaches and suggesting avenues for future research, this study aims to develop more effective strategies to combat cyberbullying and protect future generations from its detrimental effects.