Following the suspension of Paul Nehlen's Twitter account earlier today, the #FreeNehlen hashtag appeared. Here's a look at the first couple hours of the campaign.
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This analysis is based off the first 2 hours and 10 minutes of the #FreeNehlen hashtag, consisting of 2384 tweets from 583 accounts. This diagram shows the retweet/reply relationships between the accounts.
The largest node, currently named @YoungerZ____, in the retweet network also posted the first #FreeNehlen tweet. I say "currently" because this account likes to vary its name.
This user has gone through various permutations of "YoungerZ" as a username since being created a few months ago. Tweet timings are shown in GMT as they claim to be in Scotland.
Unlike many of the trends we've analyzed, there are no round-the-clock bots present in this set (so far). This pattern, however, was unusual - they seem to be on a 25 rather than 24 hour cycle.
This is not the first time this particular pattern has turned up, btw.
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The #FreeNehlen hashtag campaign is being organized on both 4chan and Twitter (checked /r/The_Donald too, but didn't find much there).
Finally, since 4chan showed up, I checked the last 1000 tweets of each accounts for both #FreeNehlen and #FireRosenstein for the word "anime". Results:
I checked the #FreeNehlen hashtag again this morning. Here's the updated network, now containing 6720 tweets from 1629 accounts. @Katspa2 is now the largest node.
We took a quick look at @Katspa2. With only 636 tweets, there's not a lot to see, but between the schedule and the use of UK rather than US English, this account is likely not US based. Account has only been tweeting for 6 days and kicked into high gear for the #FreeNehlen push.
Another update on #FreeNehlen - this trend seems to slowed down substantially since the first night.
Updated network diagram - 8924 tweets from 2024 accounts. An interesting observation: 987 of the 2383 tweets I originally captured during the first two hours of the #FreeNehlen trend are now gone.
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Meet @ShawneeDeaver. This account's first tweet - and only non-reply tweet - is 2scEY0T, an apparently random 7-character alphanumeric code. The rest of the tweets are replies sent within hours of its creation; the collage is representative. (Thanks @OlgaNYC1211 for the lead).
We decided to look for more accounts like it. We started by harvesting the recent replies to the accounts that @ShawneeDeaver replied to, and filtering the results to accounts with a 7-character code as their first tweet and all subsequent tweets being quickly-launched replies.
Let's take an updated look at the traffic related to Russia Insider, a Russian news site featuring sections such as "Western Collapse", "The Jewish Question", "Free Assange", "Russiahoax", and "EU Conservative Uprising".
(previous Russia Insider thread in which failed Congressional Candidate Paul Nehlen featured prominently)
While looking for streams of the Kavanaugh confirmation cloture vote yesterday, we stumbled on @Seekandfind, an account that linked Russia Today's stream. Spoiler alert - this account is (at least presently) a bot with signs of some human interjections.
This account is extremely high-volume (900+ tweets per day at present) and uses a massive cornucopia of different automation tools to tweet (mostly Microsoft PowerApps, Buffer, Integromat, IFTTT, and Zapier).
What does @Seekandfind tweet about? 37.1% of tweets contain one or more of the keywords shown in this chart - the Trump, Hillary Clinton, MSM/fake news, and deep state categories being the most prominent.
On October 2nd, the news came out that envelopes containing suspected ricin had been mailed to the Pentagon and the White House. We downloaded tweets containing the word "ricin" a few hours after the news broke, resulting in 45007 tweets from 29308 accounts.
Here's the retweet network for "ricin" on 2018-10-02. It consists almost entirely of right wing accounts, most of which are speculating that the ricin mailing was left-wing terrorism.
We tested a sample of 10000 of the accounts with ricin tweets for automation (based on either 24/7 activity or 90%+ of tweets being posted via automation services/custom apps). 817 (8.2%) were flagged as bots. Let's look at a few of them.
Yesterday (2018-10-02), four members of the white supremacist group known as the "Rise Above Movement" were arrested by the feds for their part in the violence at the #UniteTheRight rally in Charlottesville in August 2018. Let's take a look at related Twitter traffic.
(previous thread on the Twitter activity surrounding the #UniteTheRight hashtag leading up to and during the rally last year.)
We downloaded tweets containing "Charlottesville" and "arrests", resulting in 15082 tweets from 12331 accounts beginning with the first report of the arrests (from @HenryGraff).
How does one go about detecting Twitter bots (automated accounts)? Let's take a look at three different tests for detecting signs of automation, and try them on three different sample sets of accounts.
The first two tests may be familiar from previous threads:
1. 24/7 tweet activity - this could point to multiple human operators, but is usually the result of automation/tweet scheduling. 2. Use of automation services such as IFTTT or custom apps built with the Twitter API.
The tweet schedule plots shown in the previous tweet can be used to visually perform both these tests. You can generate them yourself for accounts of interest here: makeadverbsgreatagain.org/allegedly