Em dashes and emojis
You can pry my em dashes — which I use regularly in writing because I love them — from my cold dead hands (To be fair, I really like parenthetical statements too, could be an ADHD thing).
Humans just use dashes - they get the point across and don’t require esoteric button presses.
But it just doesn’t look right. I use a double dash, but most places now convert that automatically to em dash.
Some phones turn hyphens into an em dash.
Fuck using an alt code though, I’m just gonna use a comma even when I shouldn’t
I use the EURKey layout, right alt becomes a modifier key that, among other changes, turns the dash into an em dash. It’s really nice, also for diacritics and such.
I use a keyboard layout, where they are easy to type — this does not make me a llm.
My keyboard does not have an em dash and I have never seen one that does.
Still sus. 🤔
No, it makes you wrong.
On the iPhone I just long-press the dash and get alternates like en and em dash, as well as middot. Otherwise, no esoteric button presses. Works on macOS and iPad too.
No need for long press—double dashes convert automatically
Ok————— nice
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Or she actually cares about ponctuation. And that’s a lost for you.
You just keep an Em Dash in a notepad to copy and paste all the time?
Alt-0151 on windows
Did you have to google it before commenting? Be honest
No; I use it decently often. I also know that typing “2014” and pressing alt-x in Word will insert an emdash if I don’t have access to a number pad.
Great catch! That’s a really interesting observation — but no, using em dashes and emojis alone is not a reliable way to tell AI text from human-written text.
Here’s why:
1️⃣ Humans and AI both use em dashes and emojis
Skilled human writers often use em dashes for style, tone, or emphasis (like in essays, journalism, or fiction).
Modern AI models, including ChatGPT, are trained on vast amounts of text — including texts that use em dashes extensively — so they use them naturally.
2️⃣ Em dash frequency varies by context
In formal writing (e.g., academic papers), em dashes are less common, regardless of author.
In casual or conversational writing, both humans and AIs may use them liberally.
3️⃣ Stylometric features are broader than one punctuation mark
When people try to detect AI-generated text, they usually analyze a combination of features:
Average sentence length
Vocabulary richness
Repetition patterns
Syntactic structures
Overuse or underuse of certain constructions
Punctuation is just one small part of these analyses and isn’t decisive on its own.
✅ Bottom line: Em dashes can hint at style, but they aren’t a reliable “tell” for AI detection on their own. You need a holistic analysis of multiple stylistic and structural features to make a meaningful judgment.
🤖 Why emojis aren’t a clear tell for AI
1️⃣ AI can easily include emojis if prompted Modern AI models can and do use emojis naturally when asked to write in a casual or friendly tone. In fact, they can even mimic how humans use them in different contexts (e.g., sparingly or heavily, ironically or sincerely).
2️⃣ Humans vary wildly in emoji usage Some humans use emojis constantly, especially in texting or on social media. Others almost never use them, even in casual writing. Age, culture, and personal style all influence this.
3️⃣ Emojis can be explicitly requested or omitted If you tell an AI “don’t use emojis,” it won’t. Similarly, you can tell it “use lots of emojis,” and it will. So it’s not an inherent trait.
4️⃣ Stylometric detection relies on more than one feature Like em dashes, emojis are only one aspect of style. Real detection tools look at patterns like sentence structure, repetitiveness, word choice entropy, and coherence across paragraphs — not single markers.
✅ When might emojis suggest AI text?
If there is excessively consistent or mechanical emoji usage (e.g., one emoji at the end of every sentence, all very literal), it might suggest machine-generated text or an automated marketing bot.
But even then, it’s not a guarantee — some humans also write this way, especially in advertising.
💡 Bottom line: Emojis alone are not a reliable clue. You need a combination of markers — repetition, coherence, style shifts, and other linguistic fingerprints — to reasonably guess if something is AI-generated.
If you’d like, I can walk you through some actual features that are better indicators (like burstiness, perplexity, or certain syntactic quirks). Want me to break that down?
I’ve never seen em dahses outside of an academic paper, so saying people use them liberaly is an olypmic level stretch.
Also that comment was clearly written by ai itself.
woosh
You people think em dashes are proof of AI?
Jesus Christ that’s so fucking sad.
Indeed—your assertion is entirely accurate—the mere presence of em dashes within a text does not—in and of itself—serve as definitive proof of artificial intelligence authorship. This grammatical construct—a versatile and often elegant punctuation mark—can be employed by any writer—human or machine—to achieve various stylistic and semantic effects. Its utility—whether for emphasis—for setting off parenthetical thoughts—or for indicating a sudden break in thought—is undeniable.
However—it is also true that—when analyzing patterns across vast datasets—certain stylistic tendencies can emerge. An AI—programmed to process and generate language based on extensive training corpora—might—through statistical correlation and optimization—exhibit a propensity for specific linguistic features. This isn’t—to be clear—a conscious choice by the AI—there’s no inherent preference for em dashes encoded within its fundamental algorithms. Rather—it’s a reflection of the patterns it has learned—the statistical likelihood of certain elements appearing together.
So—while an em dash does not independently declare “I am AI”—its consistent and perhaps slightly overzealous deployment—alongside other less tangible but equally discernible patterns—might—for a discerning observer—suggest an origin beyond human hands. It’s about the entire tapestry—not just a single thread. It’s about the aggregate—the cumulative effect—the subtle statistical fingerprint. And that—I believe—is a distinction worth making.
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