When Conspiracy Theories Meet and Make Friends. . . #UraniumOne
The Department of Justice announced the indictment of Mark Lambert on 11 charges on January 12th, and tweets appeared not long after attempting to tie this event to Hillary Clinton. In the limited searching I did, I was unable to find such a connection. justice.gov/opa/pr/former-…
Here's the volume of tweets containing "uranium" and at least one of "indictment", "bribery", and "one" since the DOJ announcement. Total of 132031 tweets. 10301 of those came from accounts with default profile images and less than 20 followers, suggesting bot activity.
Here's the first tweet I was able to find linking the announcement to #UraniumOne. Comes from an account (@PatsforTruth) with 16 tweets and 6 followers., which I found interesting.
This appears to be the earliest tweet about the indictments to receive a substantial number of RTs. @B75434425 is interesting - mostly dormant before November, when they suddenly started tweeting profusely about conspiracy theories using the #QAnon hashtag - 1493 tweets in all.
These network diagrams show the retweet/reply relationships for the indictment tweets at three different stages - first 500 tweets, first 2000, and first 10000. The theory originates with anonymous accounts and is gradually picked up by right-wing journalists.
Here's the network after 50000 tweets. It was surprising (and a bit depressing) to see a U.S. Representative propagating a conspiracy theory, even @SteveKingIA. #AltWankers
Final network diagram containing all 132031 tweets. Despite the fact that the indictment says nothing about #UraniumOne, Fox News has joined in with a headline calling it part of the "Uranium One Probe."
Getting back to the premise of conspiracy theories meeting and making friends, it's not hard to find tweets (939 in my set) claiming the Hawaii ballistic missile false alarm was an attempt to distract the public from the indictments that aren't actually related to #UraniumOne.
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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