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Sociolinguistic analysis uncovers word-formation patterns bypassing algorithmic filters among social media users, highlighting how online evasion strategies reshape everyday spoken English.
This working paper analyzes the emergence of algospeak, a specialized register that social media users develop to bypass automated content filters. Applying concepts from morphology, computer-mediated communication, and sociolinguistics, the study examines the word-formation patterns that emerge under algorithmic moderation. These include prefixation with zero-derivation, orthographic shifts, and semantic broadening. The paper also tracks how these circumventions move from technical evasion strategies into everyday spoken and written English.
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Zouhair El Moustaqime (2026) studied this question.
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