Intimate partner violence and sexual violence are the most common forms of violence against women, affecting as many as one-third of women worldwide. We know little about the nature and content of IPV-related posts on Twitter. Thus, the goal of this project is to identify IPV/sexual violence-related contents within Twitter’s conversational data. The result of our exploratory research may have implications for IPV scholars and practitioners by opening up a new source of data and information about IPV. The study provides a unique view of IPV information on Twitter by linking social science with advanced statistics methods to better understand violence against women in the current social media environment.
Professor
Social Policy & Practice
University of Pennsylvania
Associate Professor
Computer Science and Mathematics
Arcadia University
Associate Professor
Computer Science and Mathematics
Arcadia University