#FF on a Wed: @eventparrot, Twitter experiment around #BreakingNews. @WikiLiveMon, my experimental #Wikipedia -based breaking news detector.
@lbenedix Ah, I see. No, they are not: https://t.co/5DPR9CjH4q. In “Anons vs. Logged-Ins” I exclusively look at humans.
@lbenedix Not sure I understand, I already monitor Bots vs. Wikipedians: # of bots compared to # of humans on both Wikipedia & Wikidata.
.@jokerozen @JeanFred Bot status here: https://t.co/D6I2B33jm6. From non-bots (i.e. humans), I look if they’re anon: https://t.co/JlqXRBvlyV
First results of Anons vs. Logged-In Humans @Wikipedia/@wikidata edit stats: ~27% of edits made by anon. users; #Wikidata ~98% logged-in!
With Bots vs. Wikipedians in place, it was easy to add Anon vs. Logged-In Humans: wikipedia-edits.herokuapp.com > twitpic.com/dhk1ua