About this Research Topic
Bullying and cyberbullying remain pervasive issues affecting children and adolescents worldwide, with significant psychological, social, and academic consequences. Despite increased awareness, many cases of bullying go unrecognized or are addressed too late, exacerbating the negative impacts on both bullies and victims. Early recognition and intervention are crucial in mitigating these effects and promoting a safer, healthier environment for youth. This Research Topic delves into the multifaceted aspects of bullying and cyberbullying, aiming to uncover effective strategies, identify challenges, and propose comprehensive solutions to enhance early detection and improve prevention and intervention efforts.
The primary goal of this Research Topic is to explore current research on the early recognition, prevention, and intervention of bullying and cyberbullying. By identifying barriers and examining innovative methods for detecting, preventing, and intervening, we aim to provide a robust framework for educators, healthcare professionals, policymakers, and researchers to effectively address bullying and cyberbullying.
This Research Topic invites contributions that explore various aspects of bullying and cyberbullying, with a focus on early recognition, prevention, and intervention. The collection welcomes papers targeting the following subthemes:
- Examination of early recognition and intervention strategies for bullying and cyberbullying in diverse settings.
- Investigation of novel methods for early disclosure of bullying and cyberbullying, including emerging technologies and digital platforms.
- Analysis of the challenges faced in the recognition of bullying behaviors, including bias-based bullying (race, gender, religion, etc.), across different cultural and social contexts.
- Exploration of the psychological, social, and academic consequences of late recognition of bullying and cyberbullying.
- Examination of the role of educators, parents, peers, and the broader school environment in the early detection and intervention of bullying and cyberbullying.
- Evaluation of the effectiveness of anonymous reporting systems and digital platforms in early disclosure of bullying and cyberbullying incidents.
- Research into the utilization of artificial intelligence and machine learning for identifying, predicting, and addressing cyberbullying.
This collection seeks to foster collaboration and inspire new research directions, ultimately contributing to the reduction of bullying and its adverse effects on children and adolescents.
The primary goal of this Research Topic is to explore current research on the early recognition, prevention, and intervention of bullying and cyberbullying. By identifying barriers and examining innovative methods for detecting, preventing, and intervening, we aim to provide a robust framework for educators, healthcare professionals, policymakers, and researchers to effectively address bullying and cyberbullying.
This Research Topic invites contributions that explore various aspects of bullying and cyberbullying, with a focus on early recognition, prevention, and intervention. The collection welcomes papers targeting the following subthemes:
- Examination of early recognition and intervention strategies for bullying and cyberbullying in diverse settings.
- Investigation of novel methods for early disclosure of bullying and cyberbullying, including emerging technologies and digital platforms.
- Analysis of the challenges faced in the recognition of bullying behaviors, including bias-based bullying (race, gender, religion, etc.), across different cultural and social contexts.
- Exploration of the psychological, social, and academic consequences of late recognition of bullying and cyberbullying.
- Examination of the role of educators, parents, peers, and the broader school environment in the early detection and intervention of bullying and cyberbullying.
- Evaluation of the effectiveness of anonymous reporting systems and digital platforms in early disclosure of bullying and cyberbullying incidents.
- Research into the utilization of artificial intelligence and machine learning for identifying, predicting, and addressing cyberbullying.
This collection seeks to foster collaboration and inspire new research directions, ultimately contributing to the reduction of bullying and its adverse effects on children and adolescents.
Keywords: Bullying, Cyberbullying, Early recognition, Artificial intelligence, Victimization, Intervention strategies
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
