Understanding Violence Against Women in Digital Space from a Data Science Perspective : Full/Regular Research Papers - CSCI-ISNA

Research has shown that Violence Against Women is a pervasive problem which has been increasing. Until a few years ago, it took place both in public and private spaces, but it has now broken into Digital Space, adopting more symbolic expressions. There has been some important related work from Data Science approaches. Mainly about cyberbullying, detection of language patterns through supervised algorithms, a few works on unsupervised learning, and some on violence against women. This article is part of a larger investigation related to the Violence Against Women in Digital Space phenomena in Mexico from Spanish-language interactions in microblogging social network, Twitter. We present the framework to address these phenomena from a Data Science perspective and go through some first stage results. The goal is to give Data Science perspectives and insights related to the understanding of Digital Violence Against Women, with the purpose of generating awareness about this problem by, modifying manners and implementing public policies that could counteract this social problem.