In a fascinating coincidence, @Exposer (permanent ID 18934770), a 2009-era account being sold for $200, has five followers that look very similar to each other, also created in 2009. Can we find the rest of the network? #SaturdayShenanigans
We began by filtering all accounts with 2009 creation dates to those meeting the following criteria:
• default profile pic
• name ends in 3 digits
• 0 likes
• < 10 tweets
• following 100+ accounts
• following at least 5 times as many accounts as followed by
Next, we downloaded tweets from the accounts in question and removed likely false positives, leaving us with 5295 accounts that we believe to be part of the network. All were created in late 2009, mostly in batches, and posted what few tweets they have via "Twitter Web Client".
The majority of the tweets posted by the members of this dormant botnet consist of fragments of text (some, possibly all, appear to be plagiarized from books or elsewhere on the Internet), generally accompanied by dead links to various URL redirection services.
Weirdly (and unlike other fake follower networks we've studied) this network mostly follows smaller accounts (dozens or hundreds of followers as opposed to hundreds of thousands), and only contributes a few followers to each account followed.
(previous thread explaining how we accumulated a dataset of older Twitter accounts that we eventually expanded to include all accounts with 2009 creation dates, which we used for this thread)
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.
It's a great day to look at a network of Bluesky spam accounts with randomized names. #SundaySpam
cc: @ZellaQuixote
This spam network consists of (at least) 401 accounts, all of which were created (or added to the Bluesky app view) in August 2023. These accounts do not follow each other; rather, each one follows a small number of popular Bluesky accounts.
The accounts in this network cycle rhythmically between posting three types of content:
• reposts
• posts containing links to news articles
• posts containing links to news articles accompanied by images
Meet @thisisorange, a Twitter account created in February 2022 with a gold "verified organization" badge, thousands of batch-created fake followers, and a couple other interesting traits.
Verified organizations on Twitter can verify affiliated accounts (employees, teams, brand names, etc), which receive blue checkmarks as well as an organization badge (help.twitter.com/en/using-twitt…). The @thisisorange account has thousands of affiliates, mostly cryptocurrency accounts.
How did this come about? The website linked on @thisisorange's profile (orange dot associates) apparently allows one to become an affiliate simply by providing a Twitter account and a cryptocurrency wallet.