BREAKING: US Political Misinfo Twitter Detection AI List
Thread Below ⬇️
1. I have obtained exclusive access to documents that have never been publicly revealed. The information I am about to share with you has never been released. This information is of public concern and the below thread includes my reporting on it.
2. I have thought long and hard about whether I should release this information. Ultimately, the public has a right to this information. Therefore, I am releasing it to you, despite my deep concerns about what this means and the possible implications.
3. Unlike the other writers involved in reporting on The Twitter Files, I do not have access to any direct information from Twitter. My information is from a direct source. I do not have the same level of legal protection these other writers have. I am taking the risk anyway.
4. I have never been focused on people or personalities. That type of reporting bores me and does nothing to help people understand the truth. I am focused on data.Therefore, decided to find the data on my own. What I found was shocking.
5. I have received two separate files with thousands of data cells. I will only be releasing a small portion of it and still have a lot to go through. It is important to understand the context of the information.
6. I will not be sharing the tweets that accompany the detection / flagging list for the parameters I am about to share to protect the privacy of those mentioned in them and the original accounts who posted the information.
7. Not all of the tweets flagged were removed. Some are still up. But what is important to understand is that they were flagged at all. Why did certain words trigger the algorithm? Why were these terms being actively monitored?
9. Do not share my reporting or screenshots without properly citing me as the author. All of this will be on Blockchain to show proof of authorship and ownership as well- so don’t even try.
10. What was Twitter searching for?
“These are tweets we flagged for removal algorithmically. Some were held up, some reversed. We also searched for context.”
11. “These are phrases we judged when in the right context were indicators of misinfo. Context was important because a journalist could tweet these & it would be okay. One or more of them was fine. In combination & in context, they were used to judge the tweet as misinformation.”
12. To the left of the detection box you can see the flagged tweeted along with an algorithm and a score. To the right, you can see the rating, annotation, and decision. Not every auto detection of these words resulted in removal. Some stayed up. Some were removed.
12. The real question is: why were the algorithms flagging these phrases and words? These terms were flagged under US political misinformation. Below please find examples from the dataset I received. The world has never seen this data. I am not sure if Musk has seen this either.
13. I will not be sharing the example of the tweets that flagged these detections. I am only sharing the words parsed in the detection list.
Final reminder: not every tweet was removed.
Why were these terms monitored by Twitter as US political misinformation?
14. These are the *real* Twitter Files. Not curated internal Slack messages. And not screenshots that Twitter executives have shared with me. #RubyFiles
DARPA isn’t the main issue and in fact it seems like DARPA was screwed over in the process. Something was botched in the transition.
This transition was botched.
DARPA Intel and the core backbone of the domain naming system appears to have been given away and then set up as a charity. But the “charity” is not actually a not for profit. This essentially means the not for profit commercialized DARPA Intel. That never should have happened.
I handed my most important Ruby files to Mike Benz believing he actually cared about the country.
First, he asked if he could share my files with his Intel friends at NSA. Next, he introduced me to John Solomon.
Benz promised to cover The Ruby Files. Instead - he buried my work and proceeded to come up with excuse after excuse as to why he couldn’t.
Next thing I know - he’s on Tucker Carlson and being called the top AI Censorship expert in the world.
He blocked me when I called him out and never spoke to me again.
I was told that my Ruby Files reporting would be on Hannity.
I was also told I basically needed to work with them and do it their way. Something felt off about all of it. I didn’t proceed.
My work was never on Hannity.
My life continued to get worse and worse.
Why? Because they knew what I had and I refused to play ball.
I have stayed silent about this for over a year. I will continue to stay silent about the worst parts of this because I don’t want to deal with this litigious gang of mobsters. Trust me when I say that these are not good people. I am not crazy. They could make any decent person look crazy. This is what they are best at.
Thousands of pages from Google's internal Content API Warehouse detailing over 14,014 attributes related to Google's ranking systems. The screenshots I posted are from those files.
Why does this matter? What is the context?
Two of the attributes include signals related to Covid authority and election scoring.
So what?
This potentially means Google had an internal config for domain level authority scoring pertaining to elections and vaccines.
Who cares?
People interested in the topic of Internet censorship should ideally care.