Conspirador Norteño Profile picture
Sep 28, 2018 10 tweets 6 min read Twitter logo Read on Twitter
From time to time one encounters the erroneous rumor that Twitter bots can't reply. Let's take a look at a prolific counterexample. Meet @Guds_barn ("God's children" in Swedish).
Here's @Guds_barn's tweet schedule. This account is quite high-volume - it's likely that the only reason it doesn't always run 24/7 is that it reaches the daily limit of 2400 tweets in fewer than 24 hours.
As seen in the previous tweet, @Guds_barn has used an admirably abundant variety of apps/services to automate tweets. The heavy automated activity starts in early August 2018 - the tweets prior to that are mostly via the Twitter website.
The tool @Guds_barn seems to have settled on for automating tweets is twty. This isn't strictly an automation service; rather, it's an open source project for interfacing with the Twitter API. One could just easily create analytical tools with it as build a bot.
Many of @Guds_barn's tweets are present in multiple languages (mostly English and Swedish, but there are less frequent ones as well).
Let's get back to the topic of replies. 52312 of 61648 @Guds_barn's original tweets are replies, most of which are quote tweets of its own tweets injected into conversations @Guds_barn wasn't previously part of. Is there a pattern in the choice of tweets to reply to?
The answer is yes - each reply tweet seems to have an associated set of terms that trigger the reply. For example, the abortion tweet with the demon emoji is used as a reply to tweets containing "kill", "murder", and/or "abort".
(If you're trying to trigger a reply from @Guds_barn, note that due to Twitter's volume limits you may or may not get one. There are a lot of tweets matching the search terms this account uses.)
Thanks to @ZellaQuixote for ongoing aid with research/refinement of techniques used. Also hat tip to @accidntlmystic for the lead.
Update: this thread drew the attention of @Guds_barn. Interestingly, so did an older #SethRich thread that I amended a few days ago.

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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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