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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. Through a qualitative approach, looking at media critiques and conducting interviews, this project analyzes how Black creators across different content niches from gaming and beauty to social commentary navigate digital spaces. By doing this, it highlights the disconnect between algorithmic engagement and financial compensation. While Black content creators create viral trends, they receive little credit and face a restrictive creator fund. Addressing topics such as race, gender, and power results in creators' content being suppressed. Instead of treating algorithmic bias as an accidental glitch, this shows how these platforms reinforce the racial hierarchy we see today.