  Cyberbullying has become a pervasive issue based on the rise of cell phones
and internet usage affecting individuals worldwide. This paper proposes an
open-source intelligence pipeline using data from Twitter to track keywords
relevant to cyberbullying in social media to build dashboards for law
enforcement agents. We discuss the prevalence of cyberbullying on social media,
factors that compel individuals to indulge in cyberbullying, and the legal
implications of cyberbullying in different countries also highlight the lack of
direction, resources, training, and support that law enforcement officers face
in investigating cyberbullying cases. The proposed interventions for
cyberbullying involve collective efforts from various stakeholders, including
parents, law enforcement, social media platforms, educational institutions,
educators, and researchers. Our research provides a framework for cyberbullying
and provides a comprehensive view of the digital landscape for investigators to
track and identify cyberbullies, their tactics, and patterns. An OSINT
dashboard with real-time monitoring empowers law enforcement to swiftly take
action, protect victims, and make significant strides toward creating a safer
online environment.
