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In today’s digital world, the language used by content creators is a window into market culture. 18–24-year-olds spend the most time online of any adult group in the UK (6h 20m per day), largely on their most popular networks: YouTube and TikTok*. They are the leaders in shaping how online communication works.
Their slang compresses sarcasm, emotion, praise, irony, disappointment, and a whole cultural mindset into short, viral terms. When someone says a launch was “mid” (mediocre) or they were “lowkey cooked” (subtly, partially, or secretly in trouble, overwhelmed, or exhausted), they are giving you a clean, high-signal read on sentiment. It is fast, native, and brutally efficient.
Just thinking about Gen Z/Alpha slang as “internet fluff” is a serious missed opportunity for brands looking to understand and connect with these generational groups.
For brands, that matters because slang is often the first indicator of how people actually feel before they leave reviews, churn, or convert. Brands are frequently presenting themselves as in the know online and still get lost in translation.
Volume tells you what’s mainstream. Growth tells you what’s next. Social listening is a research technique that scrapes publicly available online data from places like Instagram, Reddit and TikTok, and then analyses this to find key insights and upcoming trends. The core benefit of social listening is that we’re analysing data, which is unprompted, full of raw opinions and can shape a detailed picture of a brand’s online reputation.
Here’s what we found when we looked at popular slang words used by the GENZ and GenAlpha Audiences, using our social listening tool, Ipsos Synthesio:

What was said : Alex: I bought the new game last night, they high-key cooked with this one
Translation: Alex: I bought the new game last night, they did such a good job making it!
What was said : Zara: Same! The vibes were immaculate. I couldn’t put it down, then overslept for class this morning, and I was crashing out
Translation: Same! I loved the game so much that I couldn’t put it down, then overslept for class this morning, and I was freaking out.
What was said : Sam: 💀💀canon event… You two low-key need to go touch grass tho
Translation: 😂😂 We’ve all done it… You two kind of need to go outside and take a break from video games, though.
The goal isn’t to “sound Gen Z” It’s to sound human-and informed. An easy rule of thumb is to use slang like seasoning. A little can make content feel fresh. Too much overpowers the dish, and people clock it immediately.
Slang should highlight a real human emotion. One well-placed term that matches the moment can feel topical. Five terms in one caption can feel like a marketing intern speedrunning TikTok – and risks isolating non-pros.
Relatability and authenticity don’t come from copying language. They come from understanding what language reveals.
That’s where Ipsos Synthesio comes in: we use social and search intelligence (and GenAI-assisted analysis) to help teams spot emerging language, map it to sentiment + context, and turn it into actionable strategy, from creating innovative content themes to addressing crisis signals.
If you’re building a social strategy in 2026, slang isn’t a gimmick. It’s a signal. And the brands that win are the ones that listen before they speak.
Full Synthesio Slang Data***
| Keywords | Jan 2025-Dec 2025 (SoV) | Jan 2024-Dec 2024 (SoV) | Trajectory (SoV) | Rank 2025 | Rank 2024 | Change in rank |
| Vibe | 6.95% | 7.23% | -4% | 1 | 1 | 0 |
| Cooked | 4.10% | 2.96% | 38% | 2 | 2 | 0 |
| Chuffed | 3.12% | 1.38% | 125% | 3 | 6 | 3 |
| Go off | 2.21% | 2.85% | -22% | 5 | 3 | -2 |
| 6-7 | 2.10% | 1.56% | 35% | 6 | 5 | -1 |
| Goat / Goated | 1.04% | 1.06% | -2% | 9 | 7 | -2 |
| Nonchalant | 0.92% | 0.12% | 701% | 11 | 23 | 12 |
| Spoton | 0.77% | 0.96% | -20% | 12 | 8 | -4 |
| Brain rot | 0.65% | 0.63% | 3% | 13 | 12 | -1 |
| Aura | 0.62% | 0.44% | 39% | 14 | 13 | -1 |
| Sigma | 0.52% | 0.37% | 42% | 15 | 16 | 1 |
| Crashing out | 0.50% | 0.21% | 137% | 16 | 21 | 5 |
| Rent Free | 0.46% | 0.35% | 34% | 17 | 17 | 0 |
| Chopped | 0.37% | 0.42% | -14% | 18 | 14 | -4 |
| Situationship | 0.35% | 0.10% | 260% | 19 | 26 | 7 |
| Slick | 0.33% | 0.17% | 89% | 20 | 22 | 2 |
| Cracker | 0.27% | 0.31% | -12% | 21 | 18 | -3 |
| NPC | 0.21% | 0.12% | 84% | 22 | 23 | 1 |
| Skibidi | 0.17% | 0.75% | -77% | 23 | 9 | -14 |
| Rizz | 0.13% | 0.42% | -68% | 24 | 14 | -10 |
| High key | 0.12% | 0.04% | 200% | 25 | 27 | 2 |
| Touch grass | 0.10% | 0.23% | -58% | 26 | 20 | -6 |
| Cannon event | 0.08% | 0.02% | 301% | 27 | 30 | 3 |
| Mewing | 0.06% | 0.04% | 50% | 28 | 27 | -1 |
| Looksmaxxing | 0.04% | 0.04% | 0% | 29 | 27 | -2 |
| Delulu | 0.04% | 0.12% | -67% | 29 | 23 | -6 |
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