Cyberbullying has been a significant challenge in the digital era world, given the huge number of people, especially adolescents, who use social media platforms to communicate and share information. Some individuals exploit these platforms to embarrass others through direct messages, electronic mail, speech, and public posts. This behavior has direct psychological and physical impacts on victims of bullying. While several studies have been conducted in this field and various solutions proposed to detect, prevent, and monitor cyberbullying instances on social media platforms, the problem continues. Therefore, it is necessary to conduct intensive studies and provide effective solutions to address the situation. These solutions should be based on detection, prevention, and prediction criteria methods. This paper presents a comprehensive systematic review of studies conducted on cyberbullying detection. It explores existing studies, proposed solutions, identified gaps, datasets, technologies, approaches, challenges, and recommendations, and then proposes effective solutions to address research gaps in future studies.

翻译：网络欺凌已成为数字时代的重要挑战，鉴于大量人群（尤其是青少年）使用社交媒体平台进行沟通和信息分享。部分个体利用这些平台通过私信、电子邮件、语音及公开帖子等方式羞辱他人。这种行为对欺凌受害者造成直接的心理和生理影响。尽管已有相关领域研究提出多种解决方案以检测、预防和监控社交媒体平台上的网络欺凌事件，但问题依然存在。因此，有必要开展深入研究并提供有效解决方案应对现状。这些解决方案应基于检测、预防和预测准则方法。本文对网络欺凌检测研究进行了系统性综述，探讨现有研究、拟议解决方案、已识别缺口、数据集、技术、方法、挑战及建议，进而提出有效方案以填补未来研究空白。