Not necessarily LGBTQ+ themed, but I feel like there is some sort of connection between having the courage to live as your authentic self and saying the word "fuck" alot. Something about realness or honesty or freedom, maybe? Feel free to disagree.
I really just want an excuse to share this (cause I am still extremely amused). For pure entertainment, I decided to look at variations of the word "fuck" on Twitter. I had about 3 months of U.S. Tweets from the Twitter public streaming API. I used a simple regular expression to pull out and save all the words containing "fuck". It wasn't perfect, it didn't capture fucks containing special characters for example, but for funsies it was juuuust fiiinne.
The results turned out to be way more magical than I could've ever imagined! The file came back with nearly 30,000 different variations of "fuck"!!!! Yea, it's Twitter, there is an overwhelming amount of filth and offensive things.... but if you look past that, you can see how creative and hilarious we are as people!! Some of my personal favorites:
fuckadoodledoo
Clusterfuckalupagus
BippityBoppitybackthefuckup
Diarrheaburnslikeamotherfucker
EfuckingMOJIS
FishMotherFuckingTacos
fuckalope
FUCKAROONIE
fuckingfrenchtoast
FuckYouCaillou
gettheliteralfuckupoutmymentions
GivethNoFucketh
humptydumptylookinmotherfucker
ifyouplaythatfuckingthirdeyedblindsongagainimgoingtofuckingkillyou
Karfuckingdashian
RIPToAllTheFucksIDontGive
whothefuckreachingformytamales
Feel free to download and browse all 29,892 different fucks here!:
Hopefully you are as easily amused as I am! Again, if you aren't familiar with Twitter, it can be both disgusting and beautiful at the same time... if you are easily scandalized, just don't đŸ™‚
Data Deets:
ftweets$matches <- str_extract_all(ftweets$dtext, "[:space:]?[A-Za-z]*[fF][uU][cC][kK][A-Za-z]*[:space:]?")
fuckcount <- t(t(table(unlist(strsplit(unlist(ftweets$matches), '\\s+')))))
write.csv(fuckcount, file = "fwords.csv")
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