DECODING ALGOSPEAK: NAVIGATING THE EUPHEMISTIC LANGUAGE OF SOCIAL MEDIA ALGORITHMS

Abstract

This study considers "algospeak," a language development in social media in which social media users adapt the language in an attempt to bypass algorithm moderation of posts. Through an investigation into the processes through which social media users develop and utilize coded terms, such as substituting "unalive" for "death," such a study proves that such adaptations allow for discussion about sensitive topics with reduced algorithm moderation danger.  Analysis, through a social media post and case studies, proves that such adaptations in language allow for negotiation in restricted environments and contribute to community and shared identity through coded vernacular use. Analysis reveals a dual role for algorithms in governing web content in terms of controlling offensive matter dissemination, but, in fact, such algorithms restrict important discussion about sensitive matter such as mental illness and sexual abuse. In addition, development in algospeak is inescapably intertwined with larger social and cultural processes in virtual environments. As such, such adaptability reflects virtual identity fluidity and explains processes through which web communities develop and shape language use. Ultimately, such an expression in algospeak reflects a powerful form of resistance toalgorithm governance, allowing for complex discursive engagements between technology, language, and social use in virtual environments.