Conspirador Norteño Profile picture
Aug 14, 2017 17 tweets 6 min read Twitter logo Read on Twitter
I decided to dig into the UniteTheRight hashtag associated with the Charlottesville white nationalist rally. #TrumpRussia #MAGA #AltWankers
I downloaded all of the tweets containing the hashtag as of 11:35 EST 8/12 (Saturday). 143925 tweets going back to 8/3.
I looked at the spread of the hashtag by plotting the network of replies and RTs containing the UniteTheRight hashtag each day.
Here's the first day (8/3). Bigger bubble=more RTs/replies containing the hashtag. AmRenaissance seems to be # UniteTheRight's birthplace.
8/4 - Volume roughly doubles. Event organizer Jason Kessler (TheMadDimension) appears. Some minor alt-right accounts show up. #AltWankers
8/5 - Kessler (TheMadDimension) is more prominent. Baked Alaska and Richard Spencer appear for the first time.
8/6 - Not much activity from Kessler. LagBeachAntifa appears for the first time and is present going forward in # UniteTheRight discussion.
8/7 - Volume roughly triples. Kessler (TheMadDimension) is main influence; other known alt-right accounts like CassandraRules show up.
8/8 - First mainstream media account to pick up on the UniteTheRight hashtag appears here - MattTalhelm, an NBC reporter.
8/9 - Opponents of the white nationalist # UniteTheRight rally start noticing and tweeting - ADL_National is a large node here.
8/10 - Volume doubles (at least), largely due to the sudden appearance of polNewsForever, which expands the # UniteTheRight audience.
8/11 - Nighttime torch rally. Drastic volume increase. RealAlexRubi (Alex Rubenstein - reporter for RT/Russia Today) is the largest node.
Two things about Rubenstein's language: 1:, he avoids "white nationalist"/"white supremacist" (uses on his TL are all retweets).
Second, he frequently describes the counterprotestors as "antifa". I'm used to seeing that label from the alt-right, but not from reporters.
8/12 - Day of attack. Drastic increase in volume. #TheResistance discussion registers strongly - @AynRandPaulRyan and @RVAWonk appear.
8/12 (continued) - Note that once again that Russia Today reporter Alex Rubenstein (RealAlexRubi) is one of the major originators.
That's all on the topic for now - I believe there's some food for thought here, particularly at the end. #TrumpRussia #MAGA

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More from @conspirator0

Oct 9, 2018
Honey Pot Bots
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.
Read 9 tweets
Oct 8, 2018
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)
We downloaded the last ten days worth of tweets linking to russia-insider(dot)com, resulting in 5357 tweets from 2779 accounts.
Read 13 tweets
Oct 6, 2018
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.
Read 10 tweets
Oct 5, 2018
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.
Read 12 tweets
Oct 4, 2018
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).
Read 13 tweets
Sep 30, 2018
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
Read 9 tweets

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