Digital Suppression: How Algorithmic Bias Silences Marginalized Communities

This research explores the lived realities of algorithmic bias and digital suppression, focusing on how marginalized communities and social justice activists confront and adapt to online censorship. Through in-depth interviews and case studies, the project uncovers the creative strategies these groups employ to resist shadowbanning, algorithmic invisibility, and systemic platform bias. Despite limited resources, they continue to foster critical dialogue, share vital information, and build collective momentum across digital spaces. Rather than solely critiquing the harms of algorithmic suppression, this research highlights the resilience and innovation of those most affected. By centering their voices, it advocates for more transparent, equitable, and inclusive digital infrastructures—ones that amplify, rather than silence, the perspectives needed for meaningful social change.