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Social Media: The "Forbidden" Words Blocked by Algorithms – Internet Expert Explains

Published January 2, 2026, 11:17
Social Media: The "Forbidden" Words Blocked by Algorithms – Internet Expert Explains

Social media platforms like YouTube, Meta, and TikTok claim they don't use "blacklists" of words, but that censorship is based on context and intent. However, content creators' experiences suggest otherwise, with the existence of a "gray zone" where self-censorship is common. This practice has led to the creation of "algospeak," a language where users replace words considered problematic by algorithms with milder expressions, such as "unalived" instead of "killed". Alex Perlman, a popular content creator, reports that mentioning YouTube on TikTok leads to a decrease in his videos' reach, suggesting that TikTok doesn't want to direct audiences to competing platforms. Furthermore, videos about Jeffrey Epstein were removed from TikTok while remaining untouched on Instagram and YouTube, reinforcing suspicions of targeted censorship. Platform algorithms are complex and opaque, making it difficult to understand why a video isn't shown or is removed. Companies promise transparency and reports, but the reality is that decisions are made by systems that combine vast amounts of data and constantly changing criteria. This lack of transparency and the possibility of arbitrary censorship create a climate of uncertainty and lead content creators to self-censor in order to avoid punishment or loss of reach. This phenomenon raises questions about freedom of speech and the responsibility of social media platforms.