Analyzing Male Domestic Violence through Exploratory Data Analysis and Explainable Machine Learning Insights

arXiv:2403.15594v1 Announce Type: cross
Abstract: Domestic violence, which is often perceived as a gendered issue among female victims, has gained increasing attention in recent years. Despite this focus, male victims of domestic abuse remain primarily overlooked, particularly in Bangladesh. Our study represents a pioneering exploration of the underexplored realm of male domestic violence (MDV) within the Bangladeshi context, shedding light on its prevalence, patterns, and underlying factors. Existing literature predominantly emphasizes female victimization in domestic violence scenarios, leading to an …

abstract abuse analysis arxiv attention bangladesh cs.cy cs.lg data data analysis explainable machine learning exploration exploratory focus insights issue machine machine learning machine learning insights study through type violence