Meet @nftsmmpanel, a Twitter account created in August 2022 that sells likes, followers, and retweets via a shady website. Can we find some of its merchandise? (Spoiler: yup) #SundayAstroturf
Sohsh(dot)com, the website promoted by @nftsmmpanel, offers a variety of services (followers, likes, etc) on a variety of social media platforms, including Twitter, Telegram and Instagram. It also offers an API (applications programming interface) to automate purchases.
Unsurprisingly, @nftsmmpanel appears to have gotten high on its own supply. Almost all of its followers are accounts created in September 2022 with zero tweets and zero likes, presumably examples of the followers sold on its website.
By recursively exploring the followers of the accounts followed by the mass-created accounts following @nftsmmpanel, we found 742322 accounts created between September 4th and October 2nd, 2022 that appear to be part of this fake follower network.
Who does this fake follower network follow? Mostly cryptocurrency/NFT-themed accounts, although other types of promotional accounts turn up too, as well as BJP politician @HardeepSPuri. Almost all of the accounts in the network also follow @Twitter and @elonmusk.
Here are follow order by creation date plots for some of the accounts that have followers from this fake follower network. The mass-created followers from the network show up as horizontal streaks.
(More on follow order by creation date plots here:
One of the more interesting accounts followed by this network is @flacc4congress. At one point it was the verified account of former Virginia congressional candidate Anthony Flaccavento, but it has been recently transformed into an NFT account.
Here's a Pastebin link with the account IDs of 1000 randomly selected accounts from the network, in case anyone wants to take a look. (Both Twitter developer policy and Pastebin length limits prevent sharing the full list.) pastebin.com/XEiHP1Gy
Finally, a big thank you to @nftsmmpanel for helpfully replying to a previous thread with a tweet advertising its services and thereby putting this fake follower network on the proverbial radar.
Update: the @nftsmmpanel account has been suspended, and the @flacc4congress account has reacted to this thread with a block.
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Can simple text generation bots keep sophisticated LLM chatbots like ChatGPT engaged indefinitely? The answer is yes, which has some potentially interesting implications for distinguishing between conversational chatbots and humans.
For this experiment, four simple chatbots were created:
• a bot that asks the same question over and over
• a bot that replies with random fragments of a work of fiction
• a bot that asks randomly generated questions
• a bot that repeatedly asks "what do you mean by <X>?"
The output of these chatbots was used as input to an LLM chatbot based on the 8B version of the Llama 3.1 model. Three of the four bots were successful at engaging the LLM chatbot in a 1000-message exchange; the only one that failed was the repetitive question bot.
The spammers behind the "Barndominium Gallery" Facebook page have branched out into AI-generated video and started a YouTube channel with the catchy name "AY CUSTOM HOME". The results are just about as craptastic as you'd expect.
In this synthetically generated aerial video of a (nonexistent) barndominium under construction, the geometry of the roof changes, a blue building appears, and a tree vanishes, all in the course of just three seconds.
This AI-generated barndominium features a long AI-generated porch with some chairs on it. Exactly how many chairs there are depends on what angle you look at it from, however, as the chair on the left splits into three chairs as the camera pans.
Some observations regarding @Botted_Likes (permanent ID 1459592225952649221)...
First, "viral posts which don't result in follower growth and have very little engagement in the reply section" is not a useful heuristic for detecting botted likes. Why not?
cc: @ZellaQuixote
"Viral posts that do not result in follower growth" is not a valid test for botting, because posts from large accounts often go viral among the large account's existing followers but do not reach other audiences, resulting in high like/repost counts but little/no follower growth.
"Very little engagement in the reply section" doesn't work for multiple reasons (some topics spur debate and some don't, some people restrict replies, etc)
Hilariously, @Botted_Likes seems to be ignoring their own criteria, as many of the posts they feature have tons of replies.
As with the banned @emywinst account, the @kamala_wins47 account farms engagement by reposting other people's videos, accompanied by bogus claims that the videos have been deleted from Twitter. These video posts frequently garner massive view counts.
@Emywinst @kamala_wins47 The operator of the @kamala_wins47 account generally follows up these viral video posts with one or more replies advertising T-shirts sold on bestusatee(dot)com. This strategy is identical to that used by the banned @emywinst account.
What's up with all these similarly-worded enthusiastic posts about a Pierre Poilievre rally in Kirkland Lake, and are they all from accounts that are less than a month old? (Spoiler: yes, they are.) #Spamtastic
cc: @ZellaQuixote
An X search for "Pierre Poilievre", "Kirkland Lake", and "refreshing" performed on August 4th, 2024 turned up 151 posts from 151 accounts. All are new accounts, with the oldest having been created less than a month ago, on July 7th, 2024. (Some have since been suspended by X.)
The most intense period of activity for this group of accounts was on August 3rd, 2024, when the repetitive posts about the Poilievre rally were posted. Each account also has at least one earlier post on a random topic; some of these older posts seem to cut off abruptly.
• Community Notes successfully placed fact checks on some of the most viral false posts about the shooting
• ~42% of noted posts were subsequently deleted by their authors
• An effort to spread a misidentification of the shooter via Community Notes failed
THE BAD:
• Community Notes fact checks take several hours to show up, which doesn't help much in the initial "breaking news" phase after a violent event
• Many notes never accumulate enough ratings to determine their fate