Here's a brief history of the #NationalDivorce hashtag. First used almost a decade ago by obscure accounts, it has in recent years been tweeted by a ragtag lineup that includes #Calexit founder Louis J. Marinelli and QAnon Congresswoman Marjorie Taylor Greene.

cc: @ZellaQuixote
The first tweet containing #NationalDivorce appears to be a November 2012 tweet from @RTsolideogloria, a now-dormant right-wing account. This was later followed by several tweets in 2013/2014 from left-wing account @StrongAmerican encouraging Texas to secede from the USA.
In 2017, right-wing pundit and Claremont Institute fellow @davereaboi began using the #NationalDivorce hashtag somewhat regularly. His tweets containing it were largely ignored until June 2020, however.
In November 2020, the official Twitter account of the #Calexit movement (@YesCalifornia) began tweeting the #NationalDivorce hashtag prolifically. Other California secessionist accounts, including Calexit founder @LouisJMarinelli, later followed suit.
The #NationalDivorce hashtag grew in popularity in 2021/2022, propelled by large right-wing accounts such as @DineshDSouza and Libertarian Party accounts such as @LPNH. Marjorie Taylor Greene used it in October 2021, on her now-banned @mtgreenee account.
Thus far, the most-retweeted tweets containing the #NationalDivorce hashtag are from popular right-wing influencers and official Libertarian Party accounts. Blue-check #Calexit account @YesCalifornia also turns up prominently, mostly due to having tweeted the hashtag 185 times.

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More from @conspirator0

Aug 11
Meet @BuyFollowers_pe, the "official" Twitter account of yet another shady website selling followers/likes/etc for a variety of social media platforms.

(As always, buying followers is unwise, and caution is recommended when visiting untrustworthy websites)

cc: @ZellaQuixote
The website promoted by @BuyFollowers_pe, penmowu(dot)com, offers impressively large quantities: one can get up to 200K Twitter followers or 1 million Facebook likes in a single purchase. Interestingly, the website also sells scraped data, such as Twitter follower lists.
Unsurprisingly, the @BuyFollowers_pe account's followers do not look organic. The majority are new, empty accounts, with occasional older accounts thrown in (most created after 2014). All of @BuyFollowers_pe's followers followed it at more or less the same time.
Read 8 tweets
Aug 6
Groups of spammy Twitter accounts downplaying human rights abuses in Xinjiang have been a recurring thing for the last couple years. Here's a look at a network of recently-created accounts spamming the #UyghurGenocide hashtag with content unrelated to genocide.

cc: @ZellaQuixote collage of six tweets with identical text ("Let‘s enj
This network consists of 48 accounts created in early July 2022, mostly on July 5th. All have names consisting of a first name and a 3-5 digit number (usually at the end but occasionally in the middle), and all tweet exclusively via the Twitter Web App. table of 48 Twitter accounts with names consisting of a firsdaily tweet volume by source app graph, showing that the 48
Almost all of this network's content (229 of 238 tweets, 96.2%) is repetitive "feel-good" tweets about Xinjiang (pretty pictures etc) that contain the hashtag #UyghurGenocide but are otherwise unrelated to genocide. Most of these tweets also contain the hashtag #Xinjiang. table of the most frequently repeated tweets from the networ
Read 7 tweets
Jul 31
When you're making a bunch of spammy accounts, you sometimes repeat generic biographies like "Type in your bio section & put the words that can aptly reflect your business" over and over. It's what you do.

cc: @ZellaQuixote
These accounts are part of an astroturf network consisting of 1666 accounts created in batches from July 2021 to April 2022. Most have Turkish display names, and all of them post all of their tweets via Twitter for Android.

(Some of the accounts do have unique biographies.)
The accounts in this network have posted no original content whatsoever; all of their tweets to date are retweets. They most retweet cryptocurrency/NFT content, with occasional exceptions.
Read 6 tweets
Jul 24
It's a great day for a quick look at a variety of suspicious Twitter accounts with GAN-generated faces. #SundayShenaniGANs

(GAN = "generative adversarial network", the technology used by thispersondoesnotexist.com and similar sites to produce fake faces)

cc: @ZellaQuixote
First up, we have @DrAdamAneevit, an antivax account with 38K followers and a GAN-generated face. Although this account's bio states that it is a "pArOdY", plenty of people are eating up its misleading tweets about COVID and vaccines.
As it turns out, @DrAdamAneevit (permanent ID 949263131800424449) wasn't always called @DrAdamAneevit. Wayback machine archives reveal that this account was previously a "news" account named @/ForFactsSake101.

(archive: )
Read 11 tweets
Jul 24
Oh look, it's yet another dodgy website selling fake followers and likes for a variety of social media platforms. #ThingsThatAreNotWorthPayingFor

cc: @ZellaQuixote
This follower sales website, cryptolikez(dot)com, has an associated Twitter account by the name of @cryptolikez (permanent 1494042375529938946). Almost all of @cryptolikez's 41K followers are accounts created between March and June 2022 that followed @cryptolikez en masse.
The batch-created accounts following @cryptolikez are part of an astroturf botnet consisting of (at least) 243586 accounts created between January and July 2022. All of the tweets posted by this botnet were (allegedly) tweeted via the Twitter Web App.
Read 6 tweets
Jul 19
Meet @Q72722580, @Q80196627, @Q35097420, @Q42834960, @Q10736330, @Q50394012, @Q08199619, and @Q07569617, a group of similarly-named Twitter accounts with duplicated profile pics and a variety of alleged jobs.

cc: @ZellaQuixote Image
These accounts are part of a network consisting of (at least) 408 accounts created between February and July 2022 (mostly in July). These accounts all have single-letter display names (usually "Q"), and (allegedly) send all their tweets via Twitter for Android. ImageImageImage
The accounts in this network use the same profile pics over and over, with only 7 distinct images (including the default) pic across 408 accounts. We were unable to find the sources of any of the images using TinEye or Google reverse image search. Image
Read 6 tweets

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