Over the last several days, a new hashtag has appeared and propagated on Twitter: #VerifiedHate. The concept seems to be to attack verified (blue-check) accounts that are theoretically promoting hate against white people.
We downloaded recent tweets containing the #VerifiedHate hashtag. We found 18092 tweets from 9747 accounts - the first tweet is in the wee hours of the morning on August 5th, and the hashtag takes off on the evening of August 7th.
This hashtag campaign appears to have been planned on other platforms in two stages. First, we have this post on Gab from 8/5, which is within minutes of the first tweet from @Keque_Magus. It's followed by plenty of additional Gab discussion promoting #VerifiedHate.
Next, we have this post on 4chan. Not long after, this tweet from @meme_america appeared. This tweet has of the time of this writing been retweeted over 1800 times, and it's not the only #VerifiedHate tweet from @meme_america to get a sizable amount of attention.
Here's the retweet network for #VerifiedHate. In addition to the accounts already mentioned, @getongab (the official Gab twitter account) also figures prominently.
Let's take a closer look at @meme_america. The account is less than two months old, and has an unusual tweet schedule - looking closely, the gaps for sleep shift forward an hour or so each day.
There are 772 accounts with original #VerifiedHate tweets (most accounts that tweeted the hashtag only did so via retweets.) Checking these accounts yields eight more with a similar pattern in their schedule.
Let's take another look at the #VerifiedHate volume. 2876 of 18092 tweets (15.9%) are tweets from one of these nine accounts or retweets thereof. This group of accounts had a disproportionate impact on the traffic. It's also notable that they all showed up after the 4chan post.
We don't currently have a good explanation for what causes this pattern, although we have seen it before. It seems to correlate with accounts that push messaging about white people being persecuted. If anyone has a hypothesis, we're interested.
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