I've started having a better time on Mastodon/Fediverse by treating this like early Twitter: I try to follow back everyone in order to fill my timeline with stuff. I aggressively follow anyone when I see a boost of something they wrote that I like. I am going to start doing the ol' Follow Friday thing to help other people find people. I follow a lot of people I know *NOTHING* about but it's finally lively enough to keep me engaged.
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Have you seen the awesome Content Warning feature??
If you're posting about sensitive topics, consider putting them behind a content warning. This puts your post body behind a "Show More" button. Some common CWs, off the top of my head:
• uspol (US Politics)
• mh (mental health)
• +, - (indicating a positive or negative take, often used with mh)
Allowing people to read certain topics at their own pace (or not at all) is one of Mastodon's greatest features.
@KaraAJC If ur looking for some POC to follow (in no particular order)
@guerrillarain: goth queen/language enthusiast/writer of cool shit
@Altruest: one of the happiest people on the internet
@Are0h: runs playvicious instance, one of the kings of clapback
@jalcine: knows all the sys adminy things
@somarasu: part shit-poster, part web desinger, all around awesome
@ArtistMarciaX: boss ass artist spilling truth all over the TL
@staticsafe: OG tooter, boosts all kinds of beautiful art
Here's an article about fun bot makers leaving Twitter. Both @aparrish and I are interviewed in it. https://slate.com/technology/2018/08/twitters-new-developer-guidelines-might-end-fun-bot-accounts.html
#ff accounts to follow—no particular order, not exhaustive, just some friends and acquaintances and others on here with good feeds and/or with whom I've had good interactions recently
and yes I know it's not friday but I'm trying to build some network effects here
Well, it's worth a try...anyone know any other linguists on here? #introductions
https://medium.com/huggingface/learning-meaning-in-natural-language-processing-the-semantics-mega-thread-9c0332dfe28e to me shows that natural language processing as a field and set of technologies is maybe *uniquely* suited to poetry generation—poetry being the genre of writing devoted, like real estate agents, to showing people around the weird space between "raw text" and meaning
I made a new bot, @QueerEye! It postulates alternate shows you could do in the Queer Eye format.
Matt Haughey is the canary in my Twitter coal mine. https://a.wholelottanothing.org/2018/08/08/im-done-with-twitter/
@cwebber You've probably seen it before but this reminds me of an article I used to show my bootcamp students when I would tell them stories about legacy code and they'd look at me skeptically...
there's like seventeen hundred different project gutenberg corpus projects but none of them do this. there are lots of straight-up PG mirrors (inheriting PG's weird directory structure), lots of projects that break the files up and rewrite the PG RDF, tons of projects that just select a subset of the files and work with those only, etc etc etc etc. but nothing that's just file, file, file, metadata
uspol, climate Show more
"Imagine tobacco executives being repeatedly invited by the U.S. government to come up with policies to ban smoking. When those meetings failed to yield anything substantive, would we conclude that the reason is that humans just want to die? Might we perhaps determine instead that the political system is corrupt and busted?" https://theintercept.com/2018/08/03/climate-change-new-york-times-magazine/
https://github.com/akanimax/T2F GAN synthesizes (unnerving) images of faces from textual descriptions
poet, programmer, game designer, computational creativity researcher. assistant arts professor at NYU ITP. she/her.
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