Editor’s note: at around 10 a.m. EST this morning, Michael Shellenberger and I will be testifying at the “Hearing on the Weaponization of the Federal Government on the Twitter Files” for the House Judiciary Committee, in the Select Subcommittee on the Weaponization of the Federal Government. Just before, around 9:00 a.m., we’ll also be releasing a TwitterFiles “Statement to Congress” thread, which will be submitted to the record. It contains some surprises. My opening:
Chairman Jordan, ranking member Plaskett, members of the Select Committee,
My name is Matt Taibbi. I’ve been a reporter for over 30 years, and an advocate for the First Amendment. Much of that time was spent at Rolling Stone magazine. Over my career, I’ve had the good fortune to be recognized for the work I love. I’ve won the National Magazine Award, the I.F. Stone Award for independent journalism, and written ten books, including four New York Times bestsellers. I’m now the editor of the online magazine Racket, on the independent platform Substack.
I’m here today because of a series of events that began late last year, when I received a note from a source online.
It read: “Are you interested in doing a deep dive into what censorship and manipulation… was going on at Twitter?”
A week later, the first of what became known as the “Twitter Files” reports came out. To say these attracted intense public interest would be an understatement. My computer looked like a slot machine as just the first tweet about the blockage of the Hunter Biden laptop story registered 143 million impressions and 30 million engagements.
But it wasn’t until a week after the first report, after Michael Shellenberger, Bari Weiss, and other researchers joined the search of the “Files,” that we started to grasp the significance of this story.
The original promise of the Internet was that it might democratize the exchange of information globally. A free internet would overwhelm all attempts to control information flow, its very existence a threat to anti-democratic forms of government everywhere.
What we found in the Files was a sweeping effort to reverse that promise, and use machine learning and other tools to turn the internet into an instrument of censorship and social control. Unfortunately, our own government appears to be playing a lead role.
We saw the first hints in communications between Twitter executives before the 2020 election, where we read things like:
Hi team, can we get your opinion on this? This was flagged by DHS:
Or:
Please see attached report from the FBI for potential misinformation.
This would be attached to excel spreadsheet with a long list of names, whose accounts were often suspended shortly after.
Following the trail of communications between Twitter and the federal government across tens of thousands of emails led to a series of revelations. Mr. Chairman, we’ve summarized these and submitted them to the committee in the form of a new Twitter Files thread, which is also being released to the public now, on Twitter at @ShellenbergerMD, and @mtaibbi.
We learned Twitter, Facebook, Google, and other companies developed a formal system for taking in moderation “requests” from every corner of government: the FBI, DHS, HHS, DOD, the Global Engagement Center at State, even the CIA. For every government agency scanning Twitter, there were perhaps 20 quasi-private entities doing the same, including Stanford’s Election Integrity Project, Newsguard, the Global Disinformation Index, and others, many taxpayer-funded.
A focus of this fast-growing network is making lists of people whose opinions, beliefs, associations, or sympathies are deemed “misinformation,” “disinformation,” or “malinformation.” The latter term is just a euphemism for “true but inconvenient.”
Undeniably, the making of such lists is a form of digital McCarthyism.
Ordinary Americans are not just being reported to Twitter for “deamplification” or de-platforming, but to firms like PayPal, digital advertisers like Xandr, and crowdfunding sites like GoFundMe. These companies can and do refuse service to law-abiding people and businesses whose only crime is falling afoul of a distant, faceless, unaccountable, algorithmic judge.
