Algorithmic Inequality: Racial Bias in Social Media Content Moderation
This project examines how social media platforms maintain a racial hierarchy through automated content moderation, creator funds, and algorithmic bias. Based on the frameworks from Stuart Hall, Safiya Noble, Ruha Benjamin, Wendy Hui Kyong Chun, and Mike Ananny, the project highlights how platforms such as TikTok and YouTube operate under the assumption that whiteness is a neutral baseline while Black creators receive different treatment.