Participatory Machine Learning Models in Feminicide News Alert Detection


  • Amelia Lee Dogan Data + Feminism Lab Massachusetts Institute of Technology



Machine Learning, Critical Data Studies, Participatory Methods, Interdisciplinary


After criminal recidivism or hiring machine learning mod-els have inflicted harm, participatory machine learning meth-ods are often used as a corrective positioning. However, lit-tle guidance exists on how to develop participatory machinelearning models throughout stages of the machine learningdevelopment life-cycle. Here we demonstrate how to co-design and partner with community groups, in the specificcase of feminicide data activism. We co-designed and piloteda machine learning model for the detection of media arti-cles about feminicide. This provides a feminist perspectiveon practicing participatory methods in a co-creation mind-set for the real-world scenario of monitoring violence againstwomen.




How to Cite

Dogan, A. L. (2022). Participatory Machine Learning Models in Feminicide News Alert Detection. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 13134-13135.