Feb. 19, 2024, 5:42 a.m. | Naveed Ejaz, Fakhra Kashif, Salimur Choudhury

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.10231v1 Announce Type: cross
Abstract: In recent years, the rising use of social media has propelled automated cyberbullying detection into a prominent research domain. However, challenges persist due to the absence of a standardized definition and universally accepted datasets. Many researchers now view cyberbullying as a facet of cyberaggression, encompassing factors like repetition, peer relationships, and harmful intent in addition to online aggression. Acquiring comprehensive data reflective of all cyberbullying components from social media networks proves to be a complex …

abstract arxiv automated challenges cs.lg cs.si cyberbullying dataset datasets definition detection domain facet media research researchers social social media synthetic type view

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