Oh look, a bunch of accounts named George with GAN-generated profile pics are tweeting identical tweets. #HolidayShenaniGANs

(GAN = "generative adversarial network", the technique used by thispersondoesnotexist.com to generate fake face pics)

cc: @ZellaQuixote Image
The spammy Georges are part of a larger network of 2500 newly-created accounts promoting cryptocurrency launchpad site @CeloLaunch. Between them, these 2250 accounts have just 25 unique first names and 50 unique last names. All have zero likes, zero followers, and 1 or 2 tweets. ImageImageImage
Most of these accounts have tweeted exactly twice: a duplicated tweet promoting @CeloLaunch, and a retweet of a December 12th @CeloLaunch tweet (a few missed either the duplicate tweet or the retweet). All tweets were sent (allegedly) via the Twitter web app. ImageImageImageImage
All 2250 accounts in the network follow @CeloLaunch and at most one other account. Those most frequently followed (other than @CeloLaunch) are @ZelenskyyUa, @Ukraine, @elonmusk, and @ekrem_imamoglu. Image
All 2250 accounts use GAN-generated profile pics. Unmodified GAN-generated face pics have the telltale feature that the major facial features are in the same position on every image*, which becomes evident when the images are blended together.

(*for now; StyleGAN 3 changes this)
Despite the fact that one can produce as many unique GAN-generated face images as one's heart desires, the operator of this network in many cases reused the same image on multiple accounts. #YouHadOneJob ImageImageImageImage
As tends to be the case with large networks of accounts with GAN-generated pics, some of the accounts ended up with glitchy images ranging from hilarious to utterly creepy. Image
Some other examples of common signs that a "face" may be GAN-generated in this thread:

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More from @conspirator0

20 Dec
Sometimes inauthentic accounts are difficult to spot, but this is not one of those times. @CheiaKeeta (permanent ID 1432532435338629124) has helpfully used the #NewProfilePic hashtag to document a history of stealing multiple people's photos and using them as profile pics.
Although @CheiaKeeta claims to be an ICU nurse in New York, the two "nurse selfies" posted by the account depict two different people, neither of whom appears to work in a New York ICU. (@CheiaKeeta removed name/employer info from the pics in a possible attempt at obfuscation.)
Casting additional doubt on @CheiaKeeta's claims to be a New York ICU nurse is a tweet stating that 33 COVID patients died in @CheiaKeeta's unit on Sept 30, 2021. Since the entirety of NYC experienced 19 COVID deaths on the day in question, this appears to be false.
Read 13 tweets
10 Dec
I appreciate everyone who tried to bring this thread about the @TrackerTrial account to the attention of @krystalball. Unfortunately, she and @esaagar opted to spin its suspension as a conspiracy involving Twitter's new CEO rather than reporting on facts:
Seriously, I can't get over how utterly terrible the "reporting" in that video is. There are two minutes or so of rambling about "bots" that bears no relation to anything even remotely real about bots.
This suspension in particular has highlighted that many people seem to believe *all* Twitter suspensions are unjustified. While Twitter does get things wrong, this doesn't mean all suspensions are bogus and journalists shouldn't be lazily repeating gossip without checking facts.
Read 4 tweets
5 Dec
There are multiple actual journalists reporting on this event, but for some reason everyone is sharing this tweet from an account made last month with an AI-generated face pic as its avatar.

Please be cautious about helping potentially inauthentic accounts build an audience.
Note that the tweet in question was posted via the "Twitter Web App" rather than one of the Twitter smartphone apps, meaning it was likely tweeted from a computer rather than the cell phone of someone on the scene. (TLDR, it's probably plagiarized from whoever took the video.)
Read 8 tweets
28 Nov
Would you buy a used Twitter account for $900? At first glance, @Droopy735 (permanent ID 84861619) looks like a well-established, popular account - it's over a decade old and has over 100 thousand followers, after all. What's not to like? (As it turns out, a lot.)
Despite being created in 2009, @Droopy735 gained almost all of its 104K followers in November 2021, and none of these newly-created followers has ever liked a tweet.
The swarm of newly-created accounts that followed @Droopy735 are part of a fake follower botnet consisting of (at least) 197134 accounts, all created in November 2021. None has ever tweeted or liked a tweet, and there are definite patterns in the account names.
Read 8 tweets
22 Nov
Ghislaine Maxwell's trial begins next week, and a Twitter account named @TrackerTrial (ID 1327007938821709826) has gone viral with a false claim that major media is not covering the case (which it of course wants everyone to follow on its Substack instead).

cc: @ZellaQuixote Image
The claim that major media organizations are ignoring the Maxwell trial is easily refuted with a simple Google search, which reveals that AP, The New York Times, Bloomberg, NPR, Reuters, The New York Post, and CNN (among others) have all covered the trial within the last week. Image
Interestingly, despite having been created back in November 2020, @TrackerTrial's first tweet is from November 2021, a year later. Things are not quite as they seem, however. . . Image
Read 5 tweets
21 Nov
The #metaverse isn't here yet, but the crypto spam accounts mentioning it in identical tweets sure are. #SundaySpam

cc: @ZellaQuixote
The spammy #metaverse tweets are from a network consisting of (at least) 741 accounts with handles and display names consisting of lowercase letters and random numbers, created in batches from August to November 2021.
These accounts amplify a variety of large cryptocurrency/blockchain accounts via a combination of quote tweets, replies, and retweets. The quote tweets and replies are frequently duplicated verbatim by dozens of accounts in the network.
Read 5 tweets

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