<!-- mobian-agent-page publisher="time" canonical="https://time.com/3989457/facebook-laughter-study/" -->

---
description: Facebook studied anonymized data to find out how people express laughter online.
title: Facebook Reveals Data About What We Really Say Online
image: https://static.time.com/v3/assets/bltea6093859af6183b/blt5bf9900309fb8f4e/69885be15f570f0184b1c8ac/ap_125099713336.jpg?branch=production&amp;width=3840&amp;quality=75&amp;auto=webp&amp;crop=16:9
---

![](https://static.time.com/v3/assets/bltea6093859af6183b/blt5bf9900309fb8f4e/69885be15f570f0184b1c8ac/ap_125099713336.jpg?branch=production&width=3840&quality=75&auto=webp&crop=16:9)

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# Facebook Reveals Data About What We Really Say Online


by 

[Chris Matthews / Fortune](/author/fortune/)


## Chris Matthews / Fortune


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Aug 7, 2015 7:40 PM CUT

![Hong Kong Rugby Sevens: beer, costumes and, somewhere, a result](https://static.time.com/v3/assets/bltea6093859af6183b/blt5bf9900309fb8f4e/69885be15f570f0184b1c8ac/ap_125099713336.jpg?branch=production&width=3840&quality=75&auto=webp&crop=3:2)

Fans wearing emoji masks watch a Hong Kong Seven rugby match in Hong Kong on March 28, 2015

Fans wearing emoji masks watch a Hong Kong Seven rugby match in Hong Kong on March 28, 2015AP

by 

[Chris Matthews / Fortune](/author/fortune/)


## Chris Matthews / Fortune


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Aug 7, 2015 7:40 PM CUT

Do you do a lot of laughing online? How do you express your chortles–with a hearty haha or are your more of a LOLer, yourself?

Well now you can tell exactly how your e-laughing compares with the average joe’s, after Facebook \[fortune-stock symbol=”FB”\] published an analysis [on it’s research blog.](https://research.facebook.com/blog/1605690073053884/the-not-so-universal-language-of-laughter/ "undefined") Inspired by a [_New Yorker_ blog pos](http://www.newyorker.com/culture/cultural-comment/hahaha-vs-hehehe "undefined")t about the various ways we indicate laughter online, researchers, “analyzed de-identified posts and comments posted on Facebook in the last week of May with at least one string of characters matching laughter,” the post reads. “We did the matching with regular expressions which automatically identified laughter in the text, including variants of _haha_, _hehe_, _emoji_, and _lol_.”

Here’s what they found:

---

> “”

---

Here’s the distribution of different kinds of laughs:

And this map will show you _where_ these different types of laughs are most common:

To dig even deeper into the data, [check out Facebook’s research blog.](https://research.facebook.com/blog/1605690073053884/the-not-so-universal-language-of-laughter/#fn2 "undefined")

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