Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence
Name
1-s2.0-S2666389922001271-main.pdf
Description
Published version
Size
1.07 MB
Format
Adobe PDF
Checksum (MD5)
cf7858309441c3a77abf6b96fa081fee
Author(s)
D'Ignazio, Catherine
Cruxên, Isadora
Suárez Val, Helena
Martinez Cuba, Angeles
García-Montes, Mariel
Fumega, Silvana
Suresh, Harini
So, Wonyoung
Date Issued
July 2022
Journal
Patterns
Publisher
Elsevier BV
Citation
D'Ignazio, Catherine, Cruxên, Isadora, Suárez Val, Helena, Martinez Cuba, Angeles, García-Montes, Mariel et al. 2022. "Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence." Patterns, 3 (7).
Version
Final published version
Abstract
Gender-related violence against women and its lethal outcome, feminicide, are a serious problem throughout the world. Official government data on gender violence and feminicide are often absent, incomplete, infrequently updated, and contested. We draw on data feminism to situate feminicide data as missing data. Building on qualitative interviews, this study discusses the informatic work of ten activist and civil society organizations across six countries who combat missing data by producing counterdata. Activists enact alternative epistemological approaches to data science that center care, memory, and justice. Activists also face significant information challenges that increase monitoring labor and add emotional burden to reading about violent deaths. This work contributes to literature on data activism and critical data studies, proposing feminicide data practices as an important research subject. The empirical insights contribute to human-computer interaction (HCI) research, suggesting ways that the field may support and sustain the counterdata production practices of activists.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.patter.2022.100530
