Algospeak Review: Key Insights on How Social Media Accelerates Language Evolution

Algospeak
Adam Aleksic (Every (UK, July 17th) Knopf (USA, July 15th))

You won’t age, just as slang is wrapped in bamboo. In Adam Aleksic’s chapter Algospeak: How Social Media Will Change the Future of Language, this phenomenon is discussed. Phrases like “Pierce Your Gyat for Rizzler” and “WordPilled Slangmaxxing” remind me that as a millennial, I’m just as distant from boomers as today’s Alphas are.

Linguist and content creator (@etymologynerd), Aleksic has ignited a new wave of linguistic innovation fueled by social media, particularly short video platforms like TikTok. The term “Algospeak” has been traditionally linked to euphemisms used to avoid online censorship, with recent examples including “anxiety” (in reference to death) or “segg” (for sex).

However, the author insists on broadening the definition to encompass all language aspects affected by the “algorithm.” This term refers to the various, often opaque processes social media platforms use to curate content for users.

In his case, Aleksic draws on his experience of earning a living through educational videos about language. Like other creators, he is motivated to appeal to the algorithm, which requires careful word selection. A video he created dissecting the etymology of the word “pen” (tracing back to the Latin “penis”) breached sexual content rules, while a discussion on the phrase “from river to sea” remained within acceptable limits.

Meanwhile, videos that explore Gen Alpha terms like “Skibidi” (a largely nonsensical term rooted in scat singing) and “Gyat” (“Goddamn” or “Ass”) have performed particularly well. His findings illustrate how creators modify their language for algorithmic advantage, with some words transitioning online and offline to achieve notable success. When Aleksic examined educators, he found many of these terms had entered regular classroom slang, with some students learning the term “anxiety” before understanding “suicide.”

A standout aspect of his study lies in etymology, investigating how algorithms propel words from online subcultures into mainstream lexicon. He notes that the misogynistic incel community is a significant contributor to contemporary slang, evidenced by its radical nature that can outpace linguistic evolution within a group.

Aleksic approaches language trends with a non-judgmental perspective. He notes that the term “anxiety” parallels earlier euphemisms like “deceased,” while “Skibidi” is reminiscent of “Scooby-Doo.” He frequently mischaracterizes slang within arbitrarily defined generations, which claim to infuse toxic narratives into the evolution of normal languages.

The situation becomes more intricate when slang enters mainstream usage through cultural appropriation. Many contemporary slang terms, like “cool” before them, trace back to the Black community (“Thicc,” “bruh”) or originate from the LGBTQ ballroom scenes (“Slay,” “Yas,” “Queen”). Such wide-ranging adoptions can sever these terms from their historical contexts, often linked to social struggles and further entrenching negative stereotypes about the communities that birthed them.

Preventing this disruption of context is challenging. Successful slang’s fate is often to be stripped of its original nuances. Social media has drastically accelerated the timeline for language innovation. Algospeak is a necessary update, yet it can become quickly outdated. However, as long as algorithms exist, fundamental insights into how technology influences language will remain important.

Victoria Turk is a London-based author

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