TFW your human resources department consists of thirteen "HR Professionals" with GAN-generated faces. #HRShenaniGANs #NotQuiteExactlyHumanResources

(GAN = "generative adversarial network", the AI technology used by tools such as thispersondoesnotexist.com)

cc: @ZellaQuixote collage of the profiles of 13 Twitter accounts with GAN-gene
The GAN-tastic HR professionals are part of a network of 53 accounts created between May and July 2022. All have GAN-generated face pics, and none has tweeted since August 12th. When active, they tweeted exclusively via the Twitter Web App and took at least one day a week off. table of the 53 accounts in the networkdaily tweet volume bar chart, showing that the accounts tweecollage showing the profile pics of all 53 accounts, all GAN
Many of the images used by this network have been stretched or cropped, preventing them from being flagged as GAN-generated by facial feature position. They still contain anomalies, however: disappearing glasses, mismatched earrings, and surreal clothing/jewelry/backgrounds, etc. collage of the profile pics of four of the accounts in the n
Every account in this network follows at least one other member of the network, and most of them follow and are followed by several of the other accounts in the network. network graph showing the follow relationships between the 5
What does this network actually tweet? Most of the content is retweets of cryptocurrency/NFT content, although random viral tweets (usually pretty pictures) turn up occasionally as well. table of the 20 accounts most frequently retweeted by the necollage of cryptocurrency tweets retweeted by the network
Here's a paste of the IDs of the 53 accounts in this network: pastebin.com/fXjCFL1g

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More from @conspirator0

Sep 7
If you're looking for fake followers that cannot get there until five thirty, this botnet's for you. #Spamtastic

cc: @ZellaQuixote collage of six Twitter accounts with the biography "dct
This fake follower botnet consists of 23965 accounts created between August 3rd and August 7th, 2022. None of these accounts has ever tweeted or liked a tweet. All use the same naming scheme and most have repetitive biographies. histogram of creation dates/time, showing that the accounts table of 27 example accounts
In addition to the aforementioned repetitive biographies, this fake follower botnet also uses the same profile pics on multiple accounts. collage of profile photos for a bunch of the accounts in the
Read 6 tweets
Sep 4
It's unclear why anyone would want to spend money a bunch of used cryptocurrency/NFT Twitter accounts, but a user with the descriptive name of "VIP STORE" is selling 21 of them on shady account sales site accs-market(dot)com. #ExtremelyUnwisePurchases

cc: @ZellaQuixote
The 21 accounts being sold by "VIP STORE" are all older accounts, created between 2008 and 2014. At least 13 (and possibly all) have been renamed, with the new names all containing "nft", "btc", or "crypto". (The old names were found in data we downloaded for previous projects.)
Although these 21 for-sale accounts have existed for years, they appear to have gained most or all of their followers in 2022. (We know this because each account has early followers created in 2022, which means all subsequent followers followed them in 2022.)
Read 10 tweets
Sep 2
Meet @youpress19801, a blue check verified cryptocurrency account with the display name "Jeremy" and a female GAN-generated face. #VerifiedShenaniGANs

(GAN = "generative adversarial network", the AI technology used by thispersondoesnotexist.com and similar tools)

cc: @ZellaQuixote
One telltale trait of unmodified GAN-generated faces (at least, those in common use) is that the primary facial features (especially eyes) are in the same position on every image, regardless of the angle of the head. This becomes obvious when multiple images are blended together.
There are several additional signs that @youpress19801's profile image is GAN-generated, including the surreal background and the random fragments of clothing and hair hanging in midair to the right of the face.
Read 6 tweets
Aug 28
Here's a look at a lineup of six interesting Twitter accounts with GAN-generated face pics. #SundayShenaniGANS

("GAN" = "generative adversarial network", the AI technology used by thispersondoesnotexist.com and similar tools)

cc: @ZellaQuixote
First, we have @GypsyCeltic (ID 1307840989617434624), an account with a GAN-generated face and a propensity for posting false statements about COVID vaccines. This allegedly Florida-based account is followed by Ron DeSantis campaign operative @ChristinaPushaw. #FloridaGAN
Next up is @dogoym (ID 1346315171229143044), an antisemitic troll account with a GAN-generated pic and a name that references the antisemitic dog whistle "The Goyim Know". According to one of this fake account's replies to Elon Musk, ~30% of Twitter accounts are fake.
Read 8 tweets
Aug 26
It's a Friday in August, and a bunch of spammy accounts are tweeting links to what appears to be the same article about recreational marijuana and auto insurance rates in Missouri on a variety of obscure websites.

cc: @ZellaQuixote
Although the article has the same title on each website, the text varies slightly from site to site (possibly a result of article spinning: en.wikipedia.org/wiki/Article_s…). The original version appears to be from St. Louis news outlet @KMOV.
The articles are being shared on Twitter by a network consisting of 13 automated Twitter accounts, each of which tweets links to a different website. Most of the accounts (10 of 13) were created within the last month, and all but one have the biography "all news for you".
Read 5 tweets
Aug 25
The fundamental purpose is to continue to manipulate social media via low-effort spam, apparently.

cc: @ZellaQuixote
The accounts that tweeted the identical "the fundamental purpose..." tweets are part of a spam network consisting of 58 similarly-named accounts created between December 28th, 2021, and January 8th, 2022. They tweet in a mix of English and Turkish, mostly via the Twitter Web App.
This network's tweets are generally repeated verbatim by multiple accounts. Pretty much all of the content is about Xinjiang, consisting of a mix of positive content about the region and denial of genocide and other human rights abuses against Uyghurs there.
Read 5 tweets

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