In an interesting twist, @TwitterSafety's latest takedown announcement was greeted with a barrage of replies and quote tweets containing the hashtag #ArmenianGovernmentTrolls (and frequently no other text).

cc: @ZellaQuixote
We downloaded tweets (excluding retweets) containing #ArmenianGovernmentTrolls, yielding 310 tweets from 204 accounts. The hashtag appears to have been started today by @FasliNabiyev shortly after @TwitterSafety's announcement.
The accounts tweeting #ArmenianGovernmentTrolls are disproportionately new accounts, with more than half of them having been created in July 2020 or later. 184 of 204 are accounts that previously spammed another hashtag we studied, #DontBelieveArmenia.
All but 4 of the 310 tweets containing #ArmenianGovernmentTrolls are replies or quote tweets, mostly to/of @TwitterSafety's takedown announcement regarding Armenia, Iran, and Russia-linked networks. A @Reuters tweet about the same takedown was also targeted with the hashtag.
This is not the first time the accounts tweeting #ArmenianGovernmentTrolls have tweeted identical tweets. There are at least 24 tweets that have been duplicated verbatim by at least 50 of them, with the conflict between Armenia and Azerbaijan being pretty much the only topic.
Last but not least, here are the 30 hashtags most frequently tweeted by this group of accounts. As with the repeated tweets, they're pretty much all pro-Azerbaijan/anti-Armenia hashtags related to the conflict between the two aforementioned nations.

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More from @conspirator0

25 Feb
Despite having tweeted #FollowMeJP daily for almost a decade (via automation tool twittbot(dot)net), none of these accounts has managed to pick up more than 100 followers. #WednesdayWisdom

cc: @ZellaQuixote Image
These accounts are part of a botnet consisting of 125 Japanese-language accounts created on December 11th and 12th, 2011. Each account name consists of a lowercase English word with one or two random characters added to both the beginning and the end of the name. ImageImageImageImage
These accounts behave in an extremely predictable fashion, posting exactly one tweet per day, resulting in 125 total tweets per day from the network (with rare exceptions). All tweets are sent via automation service twittbot(dot)net, and all 125 bots have default profile pics. ImageImageImage
Read 5 tweets
23 Feb
Meet @RoosterMagaa and @No1biden. Although their political perspectives appear to differ, they're both offering to "grow ur followers everyday 200+ real <MAGA/Biden> followers 10k in 1 month" using the exact same verbiage. #MondayMotivation

cc: @ZellaQuixote
Based on the identical verbiage, it seems quite possible that @RoosterMagaa and @No1Biden are operated by the same entity. To test this, we had @SeanSpammity DM a request for MAGA followers to the ostensibly pro-Biden account (accompanied by @RoosterMagaa's tweet)...
A few hours later, @No1Biden (allegedly a pro-Biden account) indeed replied with an offer to provide 10K "real MAGA Trump followers" for $300 or 25K for $500. (Needless to say, we're not going to pursue this opportunity.)
Read 5 tweets
21 Feb
Trump is out of office and off of Twitter, but the MAGA follow trains continue to chug along. We took a look at #MAGA train activity subsequent to Twitter's January 8th 2021 QAnon crackdown. #SundaySpam

cc: @ZellaQuixote
By starting with a few MAGA follow trains and recursively exploring the accounts that retweeted them in search of additional trains, we found 7523 trains posted between Jan 9 and Feb 20, 2021, listing 10310 accounts. 7757 are still online, mostly accounts created in 2020 or 2021.
A significant minority of these trains (1145 of 7523, 15.2%) contain the hashtag #BolsoTrump2021, often alongside images promoting both Trump and Brazilian President Jair Bolsonaro. 16 of 58 "conductors" (accounts that post trains) we looked at used the #BolsoTrump2021 hashtag.
Read 6 tweets
19 Feb
Meet @DaoThuyHanh1, @TrangKi26074705, @NguyenN16424388, and @TrinhNg82469771, four automated Twitter accounts that were created this morning (Feb 18 2021) and are already spewing exciting questions like "Do People Actually Use Cryptocurrency?" into the universe.

cc @ZellaQuixote
These accounts are part of a botnet consisting of 34 accounts created in Feb 2021. They all follow multiple other members of the botnet (and not much else). Their follow graph is split into two separate clusters, with bots in each cluster only following others in that cluster.
The majority of this network's content thus far is tweets containing linkings to cryptocurrency news articles and blog posts. These tweets are sent via the SocialChief automation service, which we've seen before:
Read 5 tweets
18 Feb
What does "normal" Twitter traffic look like in terms of what percentage of it is automated/from accounts with default pics/new accounts etc? It turns out that the baseline values differ depending on tweet language.

cc: @ZellaQuixote
We downloaded 100K random tweets in each of 9 languages: Arabic, Chinese, English, Japanese, Korean, Portuguese, Russian, Spanish, and Turkish. (We did this by choosing 1000 random cutoff times between Feb 8 and Feb 16, and downloading the preceding 100 tweets in each language.)
The percentage of tweets sent via automation apps (based on the "tweet source" field) varies widely by language. Tweets in Japanese have the highest rate of automation (16.9%) of tweets, with Arabic on the low end at only 0.9%. 5.9% of English-language tweets are automated.
Read 7 tweets
16 Feb
It's a great day to look at an Arabic-language pornbot network that uses stolen profile pics. This particular botnet sometimes uses the same pic on multiple accounts, occasionally cropped differently. #MondaySpam

cc: @ZellaQuixote
This network consists of 303 accounts created from November 2020 to January 2021, with particularly large batches created on November 13th, November 15th, and December 16th, 2020.
Most of this botnet's content is in Arabic, most of it is retweets, and most of it is (allegedly) sent via the Twitter Web App. The retweets were all sent via the web app, and its original content was posted via Twitter for Advertisers, Twitter Ads, and Tweetdeck.
Read 5 tweets

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