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TED Radio Hour

How the creator economy is making you talk like the internet

50 min episode · 2 min read
·
Adam Alexic

Episode

50 min

Read time

2 min

Topics

Leadership, Marketing, Sales & Revenue

AI-Generated Summary

Key Takeaways

  • Viral video structure: Effective algorithm-optimized videos follow a three-part formula: open with a second-person hook using "you" (statistically more viral than third-person framing), simplify to a single narrative thread, and use rapid delivery with deliberate word stress. Alexic retakes clips specifically to correct intonation and pacing until both elements meet platform engagement thresholds.
  • Algo speak — expanded definition: Platform censorship creates new vocabulary (e.g., "unalive" replacing "kill" on TikTok), but the broader phenomenon includes trend-chasing language, in-group slang incubated by algorithmic echo chambers, and words engineered as metadata to aid content distribution. Creators consciously use trending terms because algorithms treat natural language as searchable classification data.
  • Identity labels as commercial infrastructure: TikTok's own 2021 business documentation explicitly frames subcultures — cottagecore, goblincore, baddie aesthetic — as replacement demographics for advertisers. Users who adopt these algorithm-assigned identities receive hyper-targeted commercial content, making self-identification a direct revenue mechanism for platforms rather than authentic community formation.
  • Slow-spreading slang outlasts viral trends: Words like "low key" (rooted in African American English) and shifting definitions of "nonchalant" will influence English longer than "skibidi" because they lack obvious novelty. Alexic recommends tracking subtle vocabulary shifts from minority or fringe communities rather than headline slang, since those quieter changes embed more permanently into everyday speech.
  • Mix time-biased and space-biased media: Drawing on media theorist Harold Innis, Alexic distinguishes space-biased media (algorithms, TV — wide reach, short lifespan) from time-biased media (books, oral tradition — narrow reach, cultural durability). Consuming both types builds a more accurate picture of reality and reduces susceptibility to algorithmically amplified extremism or manufactured identity categories.

What It Covers

Social media linguist Adam Alexic, author of *Algo Speak* and creator with 3 million followers, explains how platform algorithms are reshaping language formation, word adoption, and speech patterns — from censorship workarounds like "unalive" to the engineered spread of slang like "skibidi" and "riz."

Key Questions Answered

  • Viral video structure: Effective algorithm-optimized videos follow a three-part formula: open with a second-person hook using "you" (statistically more viral than third-person framing), simplify to a single narrative thread, and use rapid delivery with deliberate word stress. Alexic retakes clips specifically to correct intonation and pacing until both elements meet platform engagement thresholds.
  • Algo speak — expanded definition: Platform censorship creates new vocabulary (e.g., "unalive" replacing "kill" on TikTok), but the broader phenomenon includes trend-chasing language, in-group slang incubated by algorithmic echo chambers, and words engineered as metadata to aid content distribution. Creators consciously use trending terms because algorithms treat natural language as searchable classification data.
  • Identity labels as commercial infrastructure: TikTok's own 2021 business documentation explicitly frames subcultures — cottagecore, goblincore, baddie aesthetic — as replacement demographics for advertisers. Users who adopt these algorithm-assigned identities receive hyper-targeted commercial content, making self-identification a direct revenue mechanism for platforms rather than authentic community formation.
  • Slow-spreading slang outlasts viral trends: Words like "low key" (rooted in African American English) and shifting definitions of "nonchalant" will influence English longer than "skibidi" because they lack obvious novelty. Alexic recommends tracking subtle vocabulary shifts from minority or fringe communities rather than headline slang, since those quieter changes embed more permanently into everyday speech.
  • Mix time-biased and space-biased media: Drawing on media theorist Harold Innis, Alexic distinguishes space-biased media (algorithms, TV — wide reach, short lifespan) from time-biased media (books, oral tradition — narrow reach, cultural durability). Consuming both types builds a more accurate picture of reality and reduces susceptibility to algorithmically amplified extremism or manufactured identity categories.

Notable Moment

Alexic reveals that middle school teachers — over a thousand surveyed — report students writing "unalive" in classroom essays about Hamlet and Jekyll and Hyde. The students have no awareness the word originated from TikTok censorship evasion, treating it as standard vocabulary identical to any other word.

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Episode Transcript

This message comes from Amazon Health. Why do doctor visits always require paperwork? With your permission, Amazon Health AI can connect to your health history for personalized care fast. Amazon Health AI is here. Health care just got less painful. This is the TED Radio Hour. Each week, groundbreaking TED Talks Our job now is to dream big. Delivered at TED conferences To bring about the future we want to see. Around the world. To understand who we are. From those talks, we bring you speakers and ideas that will surprise you. You just don't know what you're gonna find. Challenge you. We truly have to ask ourselves, like, why is it noteworthy? And even change you. I literally feel like I'm a different person. Yes. Do you feel that way? Ideas worth spreading from TED and NPR. I'm Manoush Zomorodi. Today on the show, Part two of our exploration of the creator economy, how people are making money off of creativity and what creativity even means in the age of AI. MANOUSH ZOMORODI This is day one of becoming a full time travel influencer. I get out a lot to hear. It's February 8 this past week. If given the opportunity, more than half of Gen Z in The US say they'd like to be a social media influencer. Product that I heard about from Making a living by creating content often in the form of short videos online, like Adam Alexic. I speak in a what I call an educational influencer accent. I'll talk very quickly. I'll stress more words to keep you watching my video. And all of that is part of this expected way to talk through the algorithm. Adam calls himself etymology nerd on social media, where he has over 3,000,000 followers across platforms like TikTok and Instagram. I studied linguistics in college. And the classic question you ask yourself when you're graduating with a linguistics degree is, well, what do I do next? Yeah. I thought, you know, I might as well give social media a try. Made a bird language. It's called Adam started posting about language back in 2022. The octave indicates mood, the semitone indicates an early series about his own habit of communicating Here I go. Like a bird. Other videos explain phonetics. I'm pretty sure the first syllable is the first syllable Like the sounds singer Cardi B makes. Obviously, the r is held longer than a regular trill All the while, he watched as the audience grew, thanks to, yes, his endearing nerdiness, but also how the algorithm responded one of two words for tea, and which one they use depends on how Take one of his most popular videos, which explains why some of us use the word chai, while others call it Now chai spread along land trade routes. Give me a second. This video has been watched over 16,000,000 times. I think I've known about this thing since high school, and I didn't even consider …

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