Camden Baucom (they/them) is an undergraduate senior in the College of Arts & Sciences pursuing a dual degree in Computer Science (BS) and Government (AB). They are passionate about opening up the possibilities within emerging technologies while combating the emerging risks. As a Laidlaw Scholar, they investigated the London Police’s racialized use of digital surveillance programs. As an MDI Scholar, they work on modeling and exposing AI deepfakes.
Algorithmic Misogyny: Approaches to Combating Online Misogynistic Radicalization
The rise of online misogynistic communities, such as the self-identifying “red pill” and “black pill” ideologies, has revealed alarming intersections between algorithmically-driven social media platforms and real-world gendered violence and political extremism. This project aims to investigate precisely how social media algorithms facilitate the formation, sustenance, and expansion of these radical misogynistic groups, exploring both the technological mechanics and social consequences of the phenomenon. Building upon existing scholarship in gender studies, computer science, and intersectional analyses of online radicalization, my research critically examines how filter bubbles and curated epistemic environments exacerbate misogyny, racism, homophobia, and political violence. The project aims to propose intersectional frameworks and technological approaches aimed at dismantling these harmful online ecosystems.