4th guards anon here. The 92nd and 93rd Mechanized have been murdering them this entire war, it’s only fitting they end theirs with what is left of the 1st Guards Tank Army here
>what is left of the 1st Guards Tank Army
it's been a while, anon, how goes it? how badly did the 4th Guards suffer? what about 2nd Motor Rifle, the Tamanskaya?
>how badly did they suffer
Pretty bad, I’ve no fricking clue why they weren’t pulled off the line >other units
Mauled to shit too, we’ll be able to tell more once Oryx gets a count going.
Oh shut the frick you stupid Black person homosexual. People are tired of you Russian shills defending the murder of Ukrainian citizens. We should execute you fricks too
You're moronic if you think the ukraine has bigger bot fsrms than russia. Most of Russia's defence budget went to vodka and bots, not training or equipment. Maybe if it had they wouldn't be getting dicked on right now.
even if that were true and not data pulled out the ass it's still twitter not PrepHole, you can't bot here you need paid shills
>conservative author who wrote a book about how trump lost and it was unfair >previous harsh critic of him, but suddenly turned heel to write a book to cash in on extreme right tards after they exposed themselves as easy marks
It is very interesting to see how easily you can profit of off people.
The study is bunk btw and it even acknowledges that the take down of pro-russian accounts may very heavily skew the dataset. It checked for leanings of tweets written in English using keywords like Putin and Zelensky in all their different spellings. Then they used Botometer which is notoriously bad at finding bots (there was even a study on it).
What Botometer is actually very good at is both false negatives and false positives. It will see bots as real people and real people as bots, I'd make an NPC joke but that's too easy.
So yeah, really interesting if 90% of your dataset is Ukrainian posts, 6% is Russian and 4% mixed and you used a notoriously bad tool to find this out which will basically mark everyone incorrectly, this information is out in the open as well and no mention of the bot's spotty reputation in the paper which you'd mention for impartiality's sake in a good paper and maybe mention some information that might prove it has improved it's methods for detection.
Actually looking into it takes too much effort though and she'd rather just score some easy visibility points for her book and to just call everyone else bots.
God I hate social studies, always such a waste of money.
No
Imagine what tin cans they are sitting in now after they got rekt so bad last time.
Sage
Who had it worse? VehDehVeh or 4th Guard?
At least the VehDehVeh can still surrender.
4th guards anon here. The 92nd and 93rd Mechanized have been murdering them this entire war, it’s only fitting they end theirs with what is left of the 1st Guards Tank Army here
>what is left of the 1st Guards Tank Army
it's been a while, anon, how goes it? how badly did the 4th Guards suffer? what about 2nd Motor Rifle, the Tamanskaya?
>how badly did they suffer
Pretty bad, I’ve no fricking clue why they weren’t pulled off the line
>other units
Mauled to shit too, we’ll be able to tell more once Oryx gets a count going.
>izium is defended
no it isn't
is defended
No one tell him
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Sorry, Ukraine really likes T80s
reminder that this is K, not pol and yet the bots are out in force
>K
>pol
Oh shut the frick you stupid Black person homosexual. People are tired of you Russian shills defending the murder of Ukrainian citizens. We should execute you fricks too
Sir. It's /k/ and /misc/. No capitals, and no the forward slash is not optional.
You're moronic if you think the ukraine has bigger bot fsrms than russia. Most of Russia's defence budget went to vodka and bots, not training or equipment. Maybe if it had they wouldn't be getting dicked on right now.
even if that were true and not data pulled out the ass it's still twitter not PrepHole, you can't bot here you need paid shills
Wow, we actually reached artifical intelligence, if even the bots support ukraine.
>/k/ is new /misc/
>/pol is new /b/
do new gays really?
>conservative author who wrote a book about how trump lost and it was unfair
>previous harsh critic of him, but suddenly turned heel to write a book to cash in on extreme right tards after they exposed themselves as easy marks
It is very interesting to see how easily you can profit of off people.
The study is bunk btw and it even acknowledges that the take down of pro-russian accounts may very heavily skew the dataset. It checked for leanings of tweets written in English using keywords like Putin and Zelensky in all their different spellings. Then they used Botometer which is notoriously bad at finding bots (there was even a study on it).
What Botometer is actually very good at is both false negatives and false positives. It will see bots as real people and real people as bots, I'd make an NPC joke but that's too easy.
So yeah, really interesting if 90% of your dataset is Ukrainian posts, 6% is Russian and 4% mixed and you used a notoriously bad tool to find this out which will basically mark everyone incorrectly, this information is out in the open as well and no mention of the bot's spotty reputation in the paper which you'd mention for impartiality's sake in a good paper and maybe mention some information that might prove it has improved it's methods for detection.
Actually looking into it takes too much effort though and she'd rather just score some easy visibility points for her book and to just call everyone else bots.
God I hate social studies, always such a waste of money.
They will remain on the front line until morale improves
>reminder this is not a discussion for current events or politics
>those that do are bots
>bots say they arent botting
lol