Data Against Feminicide
Gender-related violence against women is a global problem. Efforts to prevent this often produce laws that are un-enforced, and even less work is done measure the impact and scope of the problem with concrete data. Activists, civil society organizations, journalists, and individual community members have stepped in to fill this gap. In many places they have build intensive processes based on published news to build databases of feminicide.
We are supporting these groups by collaboratively designing technologies that can help them automate some of this work. We can teach machines to surface potentially relevant news articles. We can build tools to help them extract relevant data from a news report and prepare it for entry into their tracking databases. We can design these systems together.
Our contribution to the overall project focuses on integration with the Media Cloud platform.
Related Academic Papers and Presentations
- Bhargava, R., Suresh, H., Dogan, A.L., So, W., Suárez Val, H. Fumega, S., D’Ignazio, C. News as Data for Activists: a case study in feminicide counterdata production. 2022 Conference + Journalism Conference (C+J22).
- Suresh, H., Dogan, A. L., Movva, R., Bhargava, R., So, W., Martinez Cuba, A., Taurino, G., García-Montes, M., Cruxen, I., & D’Ignazio, C. (2022). Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection. 2022 Conference on Fairness, Accountability and Transparency (FAccT22).
- D’Ignazio, C., Cruxên, I., Val, H. S., Cuba, A. M., García-Montes, M., Fumega, S., Suresh, H. & So, W. (2022). Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence. Patterns, 3(7).
Related Posts
- Paper Presentation at ACM Conference on Fairness, Accountability, and Transparency
- Panel Talk @ Computation + Journalis 2022 Conference
- Panel Talk @ the NULab 2021 Conference
