Emoji Pattern Analysis

Emoji Patterns — AI vs. Human

by sergebulaev · MIT license · ★ 3,059 on GitHub · updated Sep 18

Pattern data from MagicPost LinkedIn analysis (Feb 2026, viral post with 220 engagement).

# Emoji Patterns — AI vs. Human

Pattern data from MagicPost LinkedIn analysis (Feb 2026, viral post with 220 engagement).

Source frequencies measured across a corpus of AI-generated vs. human-authored LinkedIn posts. The percentage column shows how often each emoji appears in AI-generated content.

## AI-correlated emojis (the "tells")

| Emoji | Name | AI Frequency | Why it's a tell | Human-pattern alternative |
|-------|------|--------------|-----------------|---------------------------|
| 💡 | lightbulb | 2.57% | ChatGPT signature for "insight" / "tip" — most diagnostic single emoji | 🪛 (screwdriver) for fix-it posts, 📍 (pin) for highlights, or remove |
| 🚀 | rocket | 3.28% | Highest-frequency AI emoji. Signals "launch" / "growth" in template fashion | 📦 (box) for shipping, 🛫 (takeoff) for travel, or remove |
| ✨ | sparkles | 3.11% | "Magic AI" / "transformation" cliché. Almost never appears in human ops content | Remove. No clean substitute |
| ♻️ | recycling | 2.93% | Used to flag re-shares and "lessons learned" loops. AI overuses for filler | 🔁 (repeat) only if literally about repetition, or remove |
| 🎯 | target | 2.07% | "Goals" / "objectives" cliché | 📌 (pushpin) for specific items, or remove |
| 📈 | chart_increasing | 1.89% | "Growth" / "metrics" template signal | Use a real number in plain text instead |
| 🔑 | key | 1.74% | "Key takeaway" / "key insight" template | Skip the emoji, write the takeaway in plain prose |
| 🎯 | dart | 1.68% | Same family as target above — both flag templated structure | Same as target |

Overview

Pattern data from MagicPost LinkedIn analysis (Feb 2026, viral post with 220 engagement).

Manual install (npx, ZIP)

Claude Codenpx skills add sergebulaev/linkedin-skills --skill emoji-patterns-ai-vs-human -g -a claude-code

Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.

Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

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Emoji Patterns — AI vs. Human

Pattern data from MagicPost LinkedIn analysis (Feb 2026, viral post with 220 engagement).

Source frequencies measured across a corpus of AI-generated vs. human-authored LinkedIn posts. The percentage column shows how often each emoji appears in AI-generated content.

AI-correlated emojis (the "tells")

Emoji	Name	AI Frequency	Why it's a tell	Human-pattern alternative
💡	lightbulb	2.57%	ChatGPT signature for "insight" / "tip" — most diagnostic single emoji	🪛 (screwdriver) for fix-it posts, 📍 (pin) for highlights, or remove
🚀	rocket	3.28%	Highest-frequency AI emoji. Signals "launch" / "growth" in template fashion	📦 (box) for shipping, 🛫 (takeoff) for travel, or remove
✨	sparkles	3.11%	"Magic AI" / "transformation" cliché. Almost never appears in human ops content	Remove. No clean substitute
♻️	recycling	2.93%	Used to flag re-shares and "lessons learned" loops. AI overuses for filler	🔁 (repeat) only if literally about repetition, or remove
🎯	target	2.07%	"Goals" / "objectives" cliché	📌 (pushpin) for specific items, or remove
📈	chart_increasing	1.89%	"Growth" / "metrics" template signal	Use a real number in plain text instead
🔑	key	1.74%	"Key takeaway" / "key insight" template	Skip the emoji, write the takeaway in plain prose
🎯	dart	1.68%	Same family as target above — both flag templated structure	Same as target
💪	muscle	1.45%	"Strength" / "resilience" platitude	Remove or replace with concrete detail
🔥	fire	1.31%	Borderline — used in human content too, but flagged when clustered with others	Keep if standalone, swap to 🌶️ (chili) or 🥵 (hot face) for variety

Cluster rules

1 AI-pattern emoji in isolation: usually fine
2 in one post: borderline — flag in --strict mode
3+ in one post: AI-likely — flag in all modes
Same emoji 2+ times: repetition tell — flag in all modes

Position rules

AI-generated posts tend to put emojis at:

End of opening hook line (lightbulb, rocket, sparkles)
Start of every bullet in a list (target, key, fire)
End of CTA line (rocket, fire, muscle)

If the draft has emojis at all three positions, treat as AI-likely regardless of which emojis they are.

Human-pattern emojis (sub-1% AI correlation)

These appear at much lower frequency in AI-generated content. Not "human-proof" — just less of a tell:

Emoji	Name	Notes
☕	coffee	Concrete, mundane — AI rarely uses
🍕	pizza	Specific food — AI rarely uses
📦	package	Shipping / ops — concrete
🪛	screwdriver	Fix-it posts — newer emoji, AI training lags
🌶️	chili	"Spicy take" replacement for fire
📍	round_pushpin	Specific location / item highlight
🛫	airplane_departure	Travel / launch — more specific than rocket
🥵	hot_face	Reaction emoji — less templated than fire
🪟	window	Newer emoji, AI training lags
🧃	beverage_box	Newer emoji, AI training lags

What this data does NOT prove

It doesn't prove these emojis are "wrong" — humans use 💡 and 🚀 too
It proves they appear 2-3x more often in AI-generated content than baseline
A single AI-pattern emoji in a post is not a verdict — the cluster + repetition pattern is the tell
New emojis released after model training cutoffs are mechanically less likely to appear in AI output, which is why the human-pattern list skews toward newer Unicode additions

Update cadence

Frequencies should be re-measured quarterly as AI training data shifts. Last update: Feb 2026 (MagicPost).

1	# Emoji Patterns — AI vs. Human
2
3	Pattern data from MagicPost LinkedIn analysis (Feb 2026, viral post with 220 engagement).
4
5	Source frequencies measured across a corpus of AI-generated vs. human-authored LinkedIn posts. The percentage column shows how often each emoji appears in AI-generated content.
6
7	## AI-correlated emojis (the "tells")
8
9	\| Emoji \| Name \| AI Frequency \| Why it's a tell \| Human-pattern alternative \|
10	\|-------\|------\|--------------\|-----------------\|---------------------------\|
11	\| 💡 \| lightbulb \| 2.57% \| ChatGPT signature for "insight" / "tip" — most diagnostic single emoji \| 🪛 (screwdriver) for fix-it posts, 📍 (pin) for highlights, or remove \|
12	\| 🚀 \| rocket \| 3.28% \| Highest-frequency AI emoji. Signals "launch" / "growth" in template fashion \| 📦 (box) for shipping, 🛫 (takeoff) for travel, or remove \|
13	\| ✨ \| sparkles \| 3.11% \| "Magic AI" / "transformation" cliché. Almost never appears in human ops content \| Remove. No clean substitute \|
14	\| ♻️ \| recycling \| 2.93% \| Used to flag re-shares and "lessons learned" loops. AI overuses for filler \| 🔁 (repeat) only if literally about repetition, or remove \|
15	\| 🎯 \| target \| 2.07% \| "Goals" / "objectives" cliché \| 📌 (pushpin) for specific items, or remove \|
16	\| 📈 \| chart_increasing \| 1.89% \| "Growth" / "metrics" template signal \| Use a real number in plain text instead \|
17	\| 🔑 \| key \| 1.74% \| "Key takeaway" / "key insight" template \| Skip the emoji, write the takeaway in plain prose \|
18	\| 🎯 \| dart \| 1.68% \| Same family as target above — both flag templated structure \| Same as target \|
19	\| 💪 \| muscle \| 1.45% \| "Strength" / "resilience" platitude \| Remove or replace with concrete detail \|
20	\| 🔥 \| fire \| 1.31% \| Borderline — used in human content too, but flagged when clustered with others \| Keep if standalone, swap to 🌶️ (chili) or 🥵 (hot face) for variety \|
21
22	## Cluster rules
23
24	- 1 AI-pattern emoji in isolation: usually fine
25	- 2 in one post: borderline — flag in `--strict` mode
26	- 3+ in one post: AI-likely — flag in all modes
27	- Same emoji 2+ times: repetition tell — flag in all modes
28
29	## Position rules
30
31	AI-generated posts tend to put emojis at:
32	- End of opening hook line (lightbulb, rocket, sparkles)
33	- Start of every bullet in a list (target, key, fire)
34	- End of CTA line (rocket, fire, muscle)
35
36	If the draft has emojis at all three positions, treat as AI-likely regardless of which emojis they are.
37
38	## Human-pattern emojis (sub-1% AI correlation)
39
40	These appear at much lower frequency in AI-generated content. Not "human-proof" — just less of a tell:
41
42	\| Emoji \| Name \| Notes \|
43	\|-------\|------\|-------\|
44	\| ☕ \| coffee \| Concrete, mundane — AI rarely uses \|
45	\| 🍕 \| pizza \| Specific food — AI rarely uses \|
46	\| 📦 \| package \| Shipping / ops — concrete \|
47	\| 🪛 \| screwdriver \| Fix-it posts — newer emoji, AI training lags \|
48	\| 🌶️ \| chili \| "Spicy take" replacement for fire \|
49	\| 📍 \| round_pushpin \| Specific location / item highlight \|
50	\| 🛫 \| airplane_departure \| Travel / launch — more specific than rocket \|
51	\| 🥵 \| hot_face \| Reaction emoji — less templated than fire \|
52	\| 🪟 \| window \| Newer emoji, AI training lags \|
53	\| 🧃 \| beverage_box \| Newer emoji, AI training lags \|
54
55	## What this data does NOT prove
56
57	- It doesn't prove these emojis are "wrong" — humans use 💡 and 🚀 too
58	- It proves they appear 2-3x more often in AI-generated content than baseline
59	- A single AI-pattern emoji in a post is not a verdict — the cluster + repetition pattern is the tell
60	- New emojis released after model training cutoffs are mechanically less likely to appear in AI output, which is why the human-pattern list skews toward newer Unicode additions
61
62	## Update cadence
63
64	Frequencies should be re-measured quarterly as AI training data shifts. Last update: Feb 2026 (MagicPost).
65