How does one find astroturf networks? One method is to choose a word or phrase, plot a histogram of the creation dates of accounts tweeting that word/phrase, and look for spikes. Several such spikes show up among accounts with recent tweets containing "casino".
If the spikes in creation dates are the result of someone creating making en masse, batches of similar-looking accounts will show up when one looks at the accounts created during the spikes. Here are some examples from the casino dataset, with possible batches highlighted in red.
The late February and early March batches from the casino dataset all use the same naming scheme, tweet using the same app ("Twitter Web App"), retweet many of the same tweets, and tweet identical tweets on multiple accounts, so these accounts are likely a single operation.
Sometimes the initial search will only uncover part of a bot/sock astroturf network. One can frequently find more accounts that are part of a network by looking at other accounts retweeting the same tweets, and exploring the followers/followees of the initial accounts.
Following this procedure with the late February/early March batch-created accounts yields 516 accounts that appear to be part of the network, all with names that appear to be randomly selected pairs of English words.
What do these accounts actually do? They retweet and reply to cryptocurrency accounts, mostly. @Roobet is the most frequent beneficiary of their astroturfing - several of its tweets have been retweeted, replied to, and liked by all 516 accounts in the network.
These accounts also follow each other profusely, in two separate groups. One cluster consists solely of accounts with late February 2021 creation dates, while the other is mostly March 2021 accounts with a few February 2021 accounts thrown in.
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• Community Notes successfully placed fact checks on some of the most viral false posts about the shooting
• ~42% of noted posts were subsequently deleted by their authors
• An effort to spread a misidentification of the shooter via Community Notes failed
THE BAD:
• Community Notes fact checks take several hours to show up, which doesn't help much in the initial "breaking news" phase after a violent event
• Many notes never accumulate enough ratings to determine their fate
12 questions for @TheDailyBeast regarding @JakeLahut's false April 2023 story, "How Ron DeSantis Is Taking a Page Out of Nixon’s Playbook", which (among other things) falsely portrays an AI-generated face as a "sexually graphic meme" of a real child.
@JoannaColes @TracyConnor
First, some background and a couple debunks of the false article, for those unfamiliar with the situation:
1. How did the decision to use serial fabulist Steven Jarvis as a source for this article come about?
2. Was anyone employed by or affiliated with The Daily Beast at the time the article was published aware of Steven Jarvis's extensive history of making false claims?
Meet @LovewinnLove (permanent ID 2707213009), a blue-check verified account with a GAN-generated face and a few additional odd characteristics. Despite being created in 2014, this account has no posts prior to October 2023.
cc: @ZellaQuixote
There are multiple indicators that @LovewinnLove's "face" is GAN-generated:
• unrealistic teeth (visible portion of bottom teeth is especially bizarre)
• odd texturing and seams in shirt fabric
• telltale eye positioning (more info in next post)
@LovewinnLove All unmodified StyleGAN-generated face images have the property that the major facial features (particularly the eyes) are in the same position on each image. Blending @LovewinnLove's profile image with 99 other GAN-generated faces demonstrates this nicely.
It's New Year's Eve, and a bunch of politics enthusiasts with GAN-generated faces are enthusiastically replying to a variety of posts with similarly-worded replies. #NewYearShenaniGANs
cc: @ZellaQuixote
The politics enthusiasts are part of a spam network consisting of (at least) 575 accounts created between May and December 2023 with GAN-generated faces. Many of their handles, such as @Maairiuieinaaa and @eJooeiaAoneueer, contain long strings of vowels.
@Maairiuieinaaa @eJooeiaAoneueer All 575 of these accounts use StyleGAN-generated faces as profile images. Some of these, such as @MauMoiagaia's profile image, contain a tiny "StyleGAN 2 (Karras et al.)" watermark in the lower right corner.
It's a great day to look at a network of inauthentic accounts that post identical AI art images (with a side of good old fashioned T-shirt spam).
cc: @ZellaQuixote
This network consists of 24 X accounts. 12 of these accounts were created in the latter half of 2023 and have female avatars, while the other 12 were created in 2013 or earlier and have male avatars.
The 12 accounts with female avatars and 2023 creation dates regularly post AI-generated art images, and these image posts are quickly reposted by other accounts in the network (both female and male). The AI-generated images are often duplicated across accounts.
Meet @ImJamesMiller (permanent ID 1371651462153994242), an account with a GAN-generated face, 172K followers, and no tweets prior to two days ago. What's up with that?
cc: @ZellaQuixote
As it turns out, @ImJamesMiller wasn't always named @ImJamesMiller. In June, the account was named @/IamJimCaviezel in an apparent attempt to impersonate Sound of Freedom actor Jim Caviezel.
@ImJamesMiller Multiple prominent users appear to have accepted the fake Jim Caviezel account as legitimate, including Texas Congressman Brian Babin, right-wing influencer/ex-Game of Thrones blogger Jack Posobiec, and recently indicted ex-Assistant Attorney General Jeff Clark.