Episode Summary
Executive Summary: This Science Friday interview explores “algo speak,” the idea that algorithms don’t just censor language but actively shape how words, slang, emojis, and online styles evolve. Adam Alexic argues platforms like TikTok accelerate meme cycles, reward attention-grabbing speech, and push language toward irony, absurdity, and consumer-culture critique, with middle schoolers often at the center of the fastest change.
Main Topics: Defining algo speak (Priority: 5/5): Alexic distinguishes narrow algo speak—language used to evade moderation, like saying "unalive" instead of "kill"—from a broader view in which algorithms act as an infrastructure influencing language change itself. Algorithms as a language engine (Priority: 5/5): The conversation argues that platforms do not merely host language; they amplify, remix, and accelerate it by rewarding trends, encouraging repetition, and shaping what gets seen and copied. Attention, influencer speech, and speed (Priority: 4/5): The host and guest discuss how creators speak faster, use up-talk, and avoid dead air because algorithmic environments reward immediate attention and penalize pauses. Slang, meme cycles, and generational change (Priority: 5/5): Examples like "rizz," "skibbity," "brain rot," and "do it, lady" show how words spread through meme culture, parody, and youth identity formation, especially among middle schoolers. Power, gatekeeping, and commercialization (Priority: 4/5): Alexic frames algorithmic language change as tied to platform power and attention commodification, noting that tech companies and their incentives influence what language gains visibility. Absurdism, consumer culture, and cultural mood (Priority: 4/5): The episode links Gen Z irony, Dada-like absurdity, and “doom” slang to a world saturated by advertising, surveillance, and overconsumption, making nonsensical language feel culturally fitting. Emoji meaning and semantic drift (Priority: 3/5): Emojis are treated as words that also undergo semantic change, with symbols like the laughing-crying face or skull changing meaning as communities repurpose them.
Key Arguments: Algorithms are not just tools for censorship avoidance; they are a medium that shapes how language evolves online. Words like "unalive" show how moderation pressures can create new vocabulary that then spreads offline. Trends such as "rizz" demonstrate a feedback loop: algorithmic visibility encourages creators to reuse a word, which then increases its virality. The biggest driver is not big tech consciously inventing slang, but platforms rewarding attention-maximizing behavior that users adapt to. Middle schoolers are often the leading edge of linguistic change because they are highly responsive, identity-driven, and flexible with language. Slang and meme language are not inherently harmful; they are indicators of broader cultural shifts toward irony, consumer critique, and exhaustion. Algorithms intensify older human behaviors like meme-making, attention-seeking, and euphemism, but at a much faster pace. Emoji usage follows the same dynamics as words: meanings shift based on context, irony, and trend cycles. Education and content creation online increasingly require “edutainment” because straightforward information is less likely to be pushed by platforms. Cringe culture can paradoxically spread slang further by parodying it, thereby increasing its visibility and adoption.
Data Points: Year "rizz" started trending: 2023 - Alexic says the word "rizz" started trending in 2023 and then became meta-ironic. Month remixed into "Rizzler" song: October 2023 - He cites the "Rizzler" song as a remix that capitalized on the earlier trend value of "rizz." Year "unalive" meme origin cited: 2018 - Alexic traces "unalive" to a Roblox meme from 2018, itself linked to an Ultimate Spider-Man meme. Age group at the cutting edge of algo speak: middle schoolers - He repeatedly says middle schoolers are where the newest language change is most visible.
Pivotal Quotes: "Algorithms are, in fact, much more than that. It's algorithms are an underlying infrastructure, a medium shaping how all of our language evolves online right now." — Adam Alexic: He expands the definition of algo speak beyond censorship evasion. "The language itself is not harmful, but it is sort of an indicator, maybe a bellwether, a canary in the coal mine, of what's happening with language as a whole." — Adam Alexic: He explains why slang terms like "rizz" and "skibbity" matter culturally. "If we want to look at culture, we have to look at the algorithms." — Adam Alexic: He argues that algorithms are now central to understanding cultural and linguistic change.
Implications: Listeners should see slang, emoji, and online speech as signals of platform power and cultural change. For creators and media companies, adapting to algorithmic attention demands may increasingly shape how language is produced and understood.