The Future of Digital Feminism: Surviving Surveillance, Misinformation, and Machine Learning Misogyny

This article introduces the concept of machine learning misogyny to describe how emerging computational systems reproduce, amplify, and legitimize gender-based discrimination. We explore the digital afterlife of #MeToo to examine how feminist storytelling is fragmented, co-opted, and erased in an era of surveillance capitalism and reactionary backlash. The paper suggests that as digital infrastructures increasingly determine which voices are heard, believed, and silenced, feminist discourse is being reshaped by forces beyond traditional activism and backlash. To make this argument, we analyze case studies of machine learning misogyny, including AI companions, pro-natalist reproductive tech, and content moderation tools, to illustrate the resurgence of gendered and racialized control. Through critiques of platform governance and case studies of technological co-optation, this article asks: what forms of feminist resistance remain possible in an era of digital precarity? Drawing on scholars, activists, and speculative futures, we propose feminist reimagining rooted in consent, care, and coalition. Ultimately, we argue that feminist survival in the digital age requires resisting not only institutional erasure but also the seductions of surface-level technological reform.