Modern Wisdom #1086: Inside The Viral Words That Make You Click – Etymology Nerd

Date: April 18, 2026
Host: Chris Williamson
Guest: Etymology Nerd (Adam Aleksic)

Episode Overview

This episode of Modern Wisdom explores how language, slang, and internet culture shape—and are shaped by—platforms, algorithms, and human identity. Chris and his guest, the “Etymology Nerd,” dive deep into the viral mechanics of modern words and memes, social media's influence on speech, identity, and even the role of AI in changing the way we express ourselves. They dissect everything from the influencer “accent” to how emojis are treated in court, with a mixture of linguistic rigor and playful banter.

Key Discussion Points and Insights

1. The Rise of Viral, Meaningless Words

• Viral Buzzwords: Words like “6 7” and “slop,” dubbed “words of the year,” are engineered for virality and clip-farming more than meaning ([00:21]).
  • Guest: “Absurdity is a meaning, and it’s absurd for a reason. The absurdity of the word is its own definition.” (01:15)
• Meta-Language: Such words function as in-group signals and help perpetuate their own spread—often knowingly critiquing the ecosystem ([01:29]).
• Platform Incentives: Dictionary.com and Oxford reward and exploit these trends for brand relevance.

2. How Platforms Invent Dialects & Drive Change

• Platform-Specific Dialects: Each platform (Twitter, TikTok, LinkedIn, Reddit) spins its own “house” dialect and even micro-dialects in subcommunities ([03:43]).
• Language as Identity: Usage of certain slang is a form of group membership ([05:28]).
  • Chris: “It tells you something about the person using them. It’s an identifier of in-group belonging.” (05:20)

3. The Linguistics of Influencer and Creator Speech

• Influencer Accents: Influencer speech patterns are optimized for relatability and algorithmic retention, including vocal fry, uptalk, and floor-holding tactics ([06:34]).
• Notable Example: Consulting on the “Sad Beige Lawsuit” involving minimalist influencer voices ([06:00]).
  • “That’s the linguistic founder effect, where you follow in people’s footsteps linguistically.” (06:34)
• Attention Mechanics: Deliberate use of uptalk and pacing to hold viewers’ attention ([08:59]):
  • “Dead silence is very bad on the algorithm.”
• Diction and Homogenization: Online creators standardize pronunciation (losing regional identity) for clarity and virality ([11:53]):
  • “Bringing those [consonants] back in helps...give it more form.”

4. Identity, In-Group Language, and Platform Standardization

• Homogenization: The pressure for standard pronunciation and diction is intense, even globally (Indian creators, etc.) due to status signaling ([12:27]).
• Evolutionary Perspective: Accents and dialects undergo evolutionary “bottlenecks” through algorithms, then “speciate” in new subcultures ([13:19]).

5. Performance Types: Lifestyle Influencers, MrBeast, and Broadcasters

• Lifestyle Influencer: Cozy, slow, and familiar, using techniques for parasocial relationships ([10:34]).
• Educational Influencer: Fast-paced, sharp, authoritative—modeled after early YouTube educators ([09:35]).
• MrBeast: Very ostentatious, “screaming every sentence” to capture youth attention ([14:02]).
• Payoff Delay: Live-streamers constantly promise future rewards to retain attention, paralleling street performers ([15:52]).

6. The Meme Pipeline: Where Words Come From

• Words and slang often move from marginalized groups (Black, gay, 4chan), through subcultures, then into the mainstream ([31:49]):
  • “Language spreads when it’s funny or cool...it’s cool when Black people use it and funny when 4chan people use it.” (32:03)
• Gay and Lesbian Accents: Developed partly for in-group signaling and historical necessity ([27:30]).
• Identity Performance: All language use is a “performance” to signal identity ([36:09]).

7. Emojis as Modern Semiotics

• Emoji Lawsuits: Emojis now have legal weight; their actual meaning is context-dependent ([41:56]).
• Cultural Fluidity: Emoji meanings shift rapidly—a “laughing” emoji is now ironically Boomer ([43:22]).

8. Algorithmic Language: The Era of Clip-Farming, Virality, and AI

• Clip Farming: Viral moments, not depth, now drive TED talks and online discourse ([23:30]).
• Algorithmic Incentives: The platform algorithms favor emotional arousal (anger, awe) over warmth or contentment, shaping which types of ideas spread ([25:08]).
• AI Language Feedback Loop: ChatGPT and similar models are already affecting real-life speech patterns and word choice (e.g., “delve” spiking in usage due to LLMs) ([56:35]).
  • “The creature that programmed the AI is being programmed by the AI.” (56:39)

9. The Attention Economy

• Every word is now a “keyword”; creators optimize language for algorithmic discoverability ([52:51]).
• “All words are keywords at this point. Metadata used to be their search engine optimization—now every single word is SEO.” (53:55)

10. Societal Consequences and Warnings

• Homogenization and Extinction: We lose uniqueness as languages die—a world “losing a language every two weeks” ([62:14]).
• Media Manipulation: Malicious actors (corporations, countries) monitor and seed language trends for influence ([67:18]).
• Social Cohorts and Buckets: The construct of “Gen Z” is more a product of marketing and social labeling than any real generational difference ([71:07]).
  • “Gen Z doesn’t exist. These are weird social constructs we believe exist.” (71:07)
• Framework Maximalism: Resist unidimensional, simplistic frameworks—true understanding requires many perspectives ([76:52]).

Memorable Quotes & Moments

• On Absurd Viral Words:
  “Absurdity is a meaning...the absurdity of the word is its own definition.” (B, 01:15)
• On Social Media’s Linguistic Power:
  “TikTok is absolutely the most powerful linguistic engine on earth.” (B, 02:39)
• On Slang Evolution:
  “Language spreads when it’s funny or cool, and it’s cool when black people use it and funny when 4chan people use it.” (B, 32:03)
• On Linguistic Homogenization:
  “We’re losing a language every two weeks...a mass extinction event.” (B, 62:14)
• On Platform Dynamics:
  “The algorithm is a bottleneck—compresses language, but then it speciates in new outgrowths.” (B, 13:19)
• On AI Feedback Loops:
  “Humans, in our spontaneous spoken conversation, are also starting to use the word ‘delve’ more.” (B, 56:35)
  • “The creature that programmed the AI is being programmed by the AI.” (A, 56:39)
• On Meme Propagation:
  “It’s a pipeline: black people, gay people, cool people, normies.” (A, 31:56)
• On Individual Linguistic Profiles:
  “It’s called idiolect—every person’s way of speaking is unique and conditioned by their background.” (B, 33:02)
• On Generational Categories:
  “Gen Z doesn’t exist...started in the early 1900s as a product to commodify you.” (B, 71:07)
• On Performance:
  “All we’re doing all the time is performing LARPing. We’re just pretending to be on a podcast right now, but in doing so, we actually are.” (B, 35:09)
• On Memoization and Nostalgia:
  “The language, music, and movies you grow up listening to between 12 and 16 tend to be locked in as what you like for the rest of your life.” (A, 75:28)
• On Linguistic Reduction:
  “It’s reductive to look at the world through one set of glasses—the human brain likes simple stories.” (B, 79:30)

Notable Segments & Timestamps

• 06:00 – The "Sad Beige" influencer lawsuit and the performance of accents
• 09:35 – Demonstration of educational vs. lifestyle influencer speech patterns
• 13:19 – How algorithms act as bottlenecks and force homogenization
• 16:21 – Longform parallels between street performance and streaming
• 27:30 – Roots of Gen Z slang in Black, queer, and 4chan subcultures
• 32:59 – Explanation of “idiolect” and how linguistic footprints can identify individuals
• 41:56 – Emojis’ legal status and shifting meanings in court cases
• 56:35 – How AI models alter human word choice (e.g. “delve” usage spike)
• 62:14 – Language extinction and the loss of expressive capacity
• 71:07 – The manufactured nature of generational identities
• 75:28 – The reminiscence bump: why teenage years set our lifelong preferences
• 84:20 – Lightning round: surprising word histories (muscle, salary, penguin, etc.)
• 85:39 – Conlanging: inventing languages and experimenting with dolphin language
• 92:09 – How AI (LLMs) really process language and what that means for communication

Concluding Takeaways

• Language, like identity, is always being performed.
  Platforms, algorithms, in-groups, and AI reinforce and reshape speech—sometimes for humor and creativity, but frequently for attention and profit.

• Be skeptical and self-aware.
  Every viral word, meme, or accent is partly a product of unseen incentives and deliberate engineering.

• Preserve diversity and complexity.
  As languages die out and speech gets algorithmically diluted, so does the richness of human experience and potential.

• Embrace framework maximalism.
  Simple stories are seductive, but a richer worldview requires multiple, sometimes conflicting lenses.

Closing note from Adam (Etymology Nerd):

“As a linguist, I have one word tattooed on my body. It’s the word umwelt—it means the world as it is perceived by a particular person. And I really like this idea that we all see the world in a completely unique way.” (B, 72:56)

Follow Adam Aleksic:

• Substack: [Etymology Nerd]
• Book: "Algo Speak: How Social Media Is Changing Language"
• Socials: @EtymologyNerd

Listen to the full episode for a blend of nerdy word trivia, sharp commentary, and a warning: every time you click, scroll, or speak online, you’re shaping—and being shaped by—the viral panopticon.