The initial wave of NPCs were taken out by Twitter, about 1,500 all together according to reporting. A small number lingered, somehow slipping past the filter, and now they are regrouping. A tweet regarding the initial outbreak collected several new likes, among them this group of five:
And their 740 closest friends are all pretty homogenous:
A fast serial collection of these 740 accounts they follow was undertaken. Their mentions reveal some accounts that are early adopters, survivors of the first purge, or otherwise influential. 735 of them came through collection, the missing were empty, locked, or suspended.
These accounts made 469,889 mentions of others. First we’ll look at 285,102 mentions of normal accounts, then we’ll see 184,787 mentions of Celebrity, Media, and Political accounts. Given that there are 67,000 accounts involved in this mention map, we’ll employ some methods we don’t normally use. This layout was done with OpenOrd rather than Force Atlas 2 and the name size denotes volume of mentions produced.
The large names here are based on Eigenvector centrality – they are likely popular members of the group, or in the case of Yotsublast, a popular content creator aligned with NPC messaging.
Usually we filter CMP – Celebrities, Media, and Politicians. These accounts are actively seeking attention so it is interesting to see who they reach out to in order to achieve that in these 184,787 mentions to about 18,500 others.
Attempting different splines with Eigenvector centrality leads to, after several tries, this mess.
Beyond the core at the bottom, Kathy Griffin, Alexandra Ocasio-Cortez, and Hillary Clinton are singled out for attention.
Mentions are directed but the best way to handle them at this scale seems to be treating them as undirected and using the KBrace filter. This is a manageable set of accounts to examine and the groupings make intuitive sense.
The 742 accounts were placed into our “slow cooker” but only 397 were visible. It isn’t clear why 350 were missed, but Twitter’s quality filter may have something to do with that.
Unlike the group of accounts in yesterday’s A Deadpool Of Bots, this wake/sleep cycle over the last ten days looks like humans making their own accounts to join in the fun. Given a good sized sample of tweets, an average adult will only consistently be inactive from 0200 – 0500, so those empty three hour windows, except for the first day, are a pretty convincing sign.
Their hashtag usage is entirely what one would expect.
Given the tight timeframe it was interesting to look at an area graph of their daily hashtag use for the last ten days.
As a society we have barely begun to adapt to automated propaganda, and now we’re facing a human wave playing at being automation. This is an interesting, helpful thing, as it provides a perfect contrast to what we explored in A Deadpool Of Bots.