Evolution of words frequencies in porn

http://porngram.sexualitics.org/

by mazr • 12 years ago

106 48 12 years ago

porngram.sexualitics.org

ozh• 12 years ago

Quite fun!

Next: provide the porn industry a simple markov chain script to generate probabilistic porn movie titles, and save them all those incredibly tiresome brainstrom sessions they must have to create new titles :)

onnoonno• 12 years ago

I think the interesting part about all this is how it changes over time. I have this impression that the whole area of sex is still and always has been a weird reflection on society at large. I would be curious, for example, for a much longer term graph comparing frequency of the two words 'hardcore', and 'love'.

mazr2• 12 years ago

https://books.google.com/ngrams/graph?content=hardcore%2Clov...

Not the same dataset though...

Negitivefrags• 12 years ago

This reminds me of the first time I implemented a markov chain text generator. We were at a LAN party so we looked on the public network shares to find a corpus of text files to use as input.

The first thing we found was a copy of the bible and the second thing we found was someones collection of porn stories.

The start of the output was "He slipped his tongue into the lord..."

Ygg2• 12 years ago

"... and Lord came unto him"?

jpswade• 12 years ago

http://porngram.sexualitics.org/?q=cup

stcredzero• 12 years ago

words frequency

Is the title a British thing? Like maths vs. math?

polymatter• 12 years ago

As a native Brit, looks like a mistake to me.

toyg• 12 years ago

Probably just an error: the guys behind it are French http://sexualitics.org/#theteam

route66• 12 years ago

To speak of evolution when your time frame is 2008-2012 is somewhat far fetched. But I believe I see a reassuring trend here: http://porngram.sexualitics.org/?q=erlang%2C+clojure%2C+Ada%...

tunnuz• 12 years ago

This comment made my day :D

donquichotte• 12 years ago

Clearly, golang is getting traction. http://porngram.sexualitics.org/?q=erlang%2Cclojure%2CAda%2C...

ushi• 12 years ago

Omg, look at C. It outperforms everything... http://porngram.sexualitics.org/?q=erlang%2Cclojure%2CAda%2C...

mappum• 12 years ago

I would be terrified if "brainfuck" had a nonzero frequency.

vanderZwan• 12 years ago

And yet, somehow very surprised.

zorlem• 12 years ago

I wouldn't bet hard money that it doesn't exist, there is always Rule #34.

http://xkcd.com/305/

ot• 12 years ago

Still, when performance matters, C is the blows all the others away by large:

http://porngram.sexualitics.org/?q=erlang%2Cclojure%2CAda%2C...

Disclaimer: all puns intended

RyanMcGreal2• 12 years ago

And Ruby is way ahead of Python:

http://porngram.sexualitics.org/?q=python%2Cruby

ttty• 12 years ago

http://porngram.sexualitics.org/?q=teen%2Cblack%2Chot%2Ccock...

endriju• 12 years ago

http://porngram.sexualitics.org/?q=btc%2Cusd

uloweb• 12 years ago

http://porngram.sexualitics.org/?q=iphone%2Candroid

viraptor• 12 years ago

I find the graph shapes amusing given the data source :)

easy_rider3• 12 years ago

In my first 2 weeks of working at an adult company (as a dev yes, it's sad) one of my tasks was to watch/scan 200+ video's and describe them.. It's true, you run out of inspiration fast. Also I could hint you: the "love" in the titles is probably explained by "love(s) to <insert profanity> ". I don't think I ever used hardcore in a title.

mratzloff• 12 years ago

I used to work with a guy who once worked as a dev at an adult company. He said it was the most soul-sucking experience of his career, and that the owners knew absolutely nothing about technology and treated their tech staff terribly.

Based on the fact that you had to spend your first two weeks doing data entry, it sounds like his experience wasn't unique.

easy_rider3• 12 years ago

I didn't quite learn if this was an industry thing. Never met other devs in the industry from other companies. He painted a perfect picture.

Just talking about it makes me unhappy :)

mapleoin• 12 years ago

http://porngram.sexualitics.org/?q=hipster

duiker101• 12 years ago

I wonder how we survived before 2009 without hipster porn.

himal• 12 years ago

http://porngram.sexualitics.org/?q=HIV%2CAIDS

edoloughlin• 12 years ago

Strange: http://porngram.sexualitics.org/?q=tea,wine,beer,coffee

RyanMcGreal2• 12 years ago

In a similar vein:

http://porngram.sexualitics.org/?q=breakfast%2Clunch%2Cdinne...

choult• 12 years ago

Not sure that that is so strange when you consider tea might appear more often due to a fairly well-known n-grame including its delivery container...

sushirain2• 12 years ago

It counts sub-string frequency, not word frequency. Try "a,b,c".

misnome• 12 years ago

Kind of interesting, but really needs statistical error bounds

probably_wrong• 12 years ago

Traditional professions are still on top:

http://porngram.sexualitics.org/?q=pizza%2Cdelivery%2Cplumbe...

I sense a business opportunity there.

rmk2• 12 years ago

Traditional professions are still on top:

Time to change positions, then!

jeltz• 12 years ago

http://porngram.sexualitics.org/?q=pizza%2Cdelivery%2Cplumbe...

Teaching and prostitution clearly dominate.

sushirain2• 12 years ago

1. It doesn't count word frequencies, but sub-string frequencies. Moreover, if a sub-string appears more than once-per-title, then it is counted more than once. I draw this conclusion by submitting "a,b,c". And from their paper [1]:

   our algorithm strips out dashes and catches any 
   occurrence of the query in the title, for example, 
   'blow' catches 'blowing', 'blowjobs'

This explains the results of these queries: "ada,erlang", "tea,beer". As an alternative they could have used a stemmer [2].

2. The "slow,fast" and "love,hardcore" trends illustrate an interesting trend. Perhaps towards women or mainstream viewers.

[1] http://sexualitics.org/wp-content/uploads/2014/01/PORNSTUDIE...

[2] http://nlp.stanford.edu/IR-book/html/htmledition/stemming-an...

easy_rider3• 12 years ago

2. The "slow,fast" and "love,hardcore" trends illustrate an interesting trend. Perhaps towards women or mainstream viewers.

I don't think so [1]

[1] https://www.google.nl/search?q=teen+loves+to&oq=teen+loves+t...

thinker• 12 years ago

I wonder if we'll soon see an Upworthy for Porn: "You will never believe what this girl did to pay her rent"

keammo1• 12 years ago

"He was just there to fix the cable. What happened next will shock you"

6d0debc071• 12 years ago

I suppose we may as well do the obvious ones

http://porngram.sexualitics.org/?q=BDSM%2Ctorture%2Cpain%2Cr...

catFishery• 12 years ago

I dunno, the less obvious ones are more interesting.

http://porngram.sexualitics.org/?q=twat%2Ccunt%2Cfist%2Cprol...

guybrushT• 12 years ago

Very interesting to see the dataset being made available. Whenever I want to do this kind of analysis, I always stumble at 'how to get the data?'. In their paper, it is mentioned that "We created a dedicated computer program to carry out the navigation and data collection tasks required to gather the metadata for all available videos...". I would love to see this program. More broadly, can anyone help me with best resources (pref python) where one can learn to crawl/scrape this type of information?

mazr2• 12 years ago

Hi, I didn't release the code of the crawler, first, because it was not well-crafted enough to be released (quick and dirty linear programming), and second, because any change in the site you crawl calls for recrafting your code.

I used python, sometimes with Beautifulsoup, sometimes with lxml, both are very good for crawling. I would say BS is easier, and LXML cleaner.

bobowzki• 12 years ago

"sister" :-)

graylights• 12 years ago

So I did gay vs lesbian and I was confused why there was a big spike in 2010 for gay that has since dropped off. Is this an anomaly in their sampling?

Also Obama's numbers have really dropped compared to Bush: http://porngram.sexualitics.org/?q=bush%2Cobama

Evolution of words frequencies in porn

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