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Read The #RubyFiles and then read this. No comment.
“Source code for Twitter's Recommendation Algorithm”
github.com/twitter/the-al…
“Source code for Twitter's Recommendation Algorithm”
github.com/twitter/the-al…
@elonmusk What is Project Jiminy?
Twitter ran a Machine Learning experiment on users called "Project Jiminy."
#RubyFiles
Twitter ran a Machine Learning experiment on users called "Project Jiminy."
#RubyFiles
@elonmusk You know. I know. They deserve to know too.
@elonmusk There is a reason why no one is allowed to report on The Ruby Files. I was never supposed to have these files. Our own government won’t even touch these files. Why? Because they know too.
AI: Censorship’s Final Frontier?
🆕 CensorTrack with @PaitenIselin
@theMRC @FreeSpeechAmer
#RubyFiles #AI
newsbusters.org/blogs/free-spe…
🆕 CensorTrack with @PaitenIselin
@theMRC @FreeSpeechAmer
#RubyFiles #AI
newsbusters.org/blogs/free-spe…
Ruby’s investigative work, dubbed the Ruby Files, exposed how platforms like Twitter use Natural Language Processing (NLP) to “moderate or perhaps possibly censor speech.”
Ruby urged for more transparency as Big Tech continues to implement AI online.
“We need clear disclosures” for people who are working in Big Tech while simultaneously receiving funding from federal agencies.
“The point is it’s a conflict of interest,” she said.
“We need clear disclosures” for people who are working in Big Tech while simultaneously receiving funding from federal agencies.
“The point is it’s a conflict of interest,” she said.
Developing a Federal #AI Standards Engagement Plan🧵
The Former Director of Twitters Responsible Machine Learning META division worked at Accenture.
Let's review some highlights from the below doc:
nist.gov/system/files/d…
Let's review some highlights from the below doc:
nist.gov/system/files/d…
"We encourage the United States government to adopt a similar whole-of-government approach"
"In the first quarter of 2015, DARPA conducted the Twitter Bot Detection Challenge:
A 4-week competition to test the effectiveness of influence bot detection methods developed under the DARPA (SMISC) program.
The challenge was to identify influence bots supporting a… twitter.com/i/web/status/1…
A 4-week competition to test the effectiveness of influence bot detection methods developed under the DARPA (SMISC) program.
The challenge was to identify influence bots supporting a… twitter.com/i/web/status/1…
The only way to understand this data is to work backwards.
The detections show a series of words in tweets that were flagged as possible political misinfo.
All of these words were part of a larger NLP vocabulary for Twitters Machine Learning model for political misinfo🧵… twitter.com/i/web/status/1…
The detections show a series of words in tweets that were flagged as possible political misinfo.
All of these words were part of a larger NLP vocabulary for Twitters Machine Learning model for political misinfo🧵… twitter.com/i/web/status/1…
Read the article before asking any questions. The article explains the larger context.
rubymediagroup.com/twitter-artifi…
rubymediagroup.com/twitter-artifi…
The theme that emerges from this data is that political misinformation only existed on the right. I see no evidence that political misinformation existed on the left. Several data scientists reviewed the data and confirmed this assessment to be true.
BREAKING: An inside look at the type of content Twitter flagged for review
Thread below ⬇️
Thread below ⬇️
1. “This file is international. The other file was US only.”
The following screenshots will reveal the type of content Twitter was monitoring for political misinformation.
The file included dates, language & annotation. I will be sharing examples in this thread.
The following screenshots will reveal the type of content Twitter was monitoring for political misinformation.
The file included dates, language & annotation. I will be sharing examples in this thread.
2. “Regarding the context on annotations- it may be interesting for people to see what we were looking for. It might strike some of your readers as interesting that we were censoring info from other places at all. Some might ask what right we had to do that.”
BREAKING: US Political Misinfo Twitter Detection AI List
Thread Below ⬇️
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.
