• Sanika V. Pande
• Trupti B. Bhagat
• Shripad J. Khorgade
• Vaishanavi D. Rajgure
• Samiksha M. Gopal, Chanchal A. Kshirsagar

Contemporary youth, commonly referred to as "digital natives," have come of age in a world immersed in advanced technologies. They are well-versed in real-time communication and exhibit no constraints when it comes to connecting with others or online communities. Nonetheless, the proliferation of social media platforms has rendered them more susceptible to cyberbullying, a form of harassment facilitated by technology. While this issue has persisted for some time, our comprehension of the profound impact it has on young individuals has only recently deepened. Leveraging machine learning techniques, we can discern patterns in the language employed by both aggressors and their targets, enabling us to establish automated protocols for identifying cyberbullying content. Cyberbullying, an online manifestation of harassment, presents a grave concern with far-reaching ramifications. It manifests in diverse ways, frequently through written communications on social networks. Given the staggering 1.96 billion individuals active on social media, its prevalence is undeniable. As we transition into the next decade, we encounter substantial challenges in addressing online conduct. Incidents of taunting, harassment, and emotional harm inflicted online are on the rise. The automatic detection of these occurrences necessitates the deployment of sophisticated computer systems.

cyber threat, bullying, victim, mitigation, machine learning

"“ENHANCING ONLINE SAFETY: DEVELOPING AN AUTOMATED SYSTEM TO DETECT CYBERBULLYING ON SOCIAL MEDIA”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.g604-g608, October-2023, Available :http://www.jetir.org/papers/JETIR2310568.pdf

"“ENHANCING ONLINE SAFETY: DEVELOPING AN AUTOMATED SYSTEM TO DETECT CYBERBULLYING ON SOCIAL MEDIA”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppg604-g608, October-2023, Available at : http://www.jetir.org/papers/JETIR2310568.pdf