Twitter Files 3
20. This post about the Hunter Biden laptop situation shows that Roth not only met weekly with the FBI and DHS, but with the Office of the Director of National Intelligence (DNI):
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20. This post about the Hunter Biden laptop situation shows that Roth not only met weekly with the FBI and DHS, but with the Office of the Director of National Intelligence (DNI):
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
Twitter Files 3
21. Roth’s report to FBI/DHS/DNI is almost farcical in its self-flagellating tone:
“We blocked the NYP story, then unblocked it (but said the opposite)… comms is angry, reporters think we’re idiots… in short, FML” (fuck my life).
[This post has the same image as the one above. I think the one above is supposed to be a different image. Ill update if he updates.]
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
21. Roth’s report to FBI/DHS/DNI is almost farcical in its self-flagellating tone:
“We blocked the NYP story, then unblocked it (but said the opposite)… comms is angry, reporters think we’re idiots… in short, FML” (fuck my life).
[This post has the same image as the one above. I think the one above is supposed to be a different image. Ill update if he updates.]
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
Twitter Files 3
23. Some of Roth’s later Slacks indicate his weekly confabs with federal law enforcement involved separate meetings. Here, he ghosts the FBI and DHS, respectively, to go first to an “Aspen Institute thing,” then take a call with Apple.
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23. Some of Roth’s later Slacks indicate his weekly confabs with federal law enforcement involved separate meetings. Here, he ghosts the FBI and DHS, respectively, to go first to an “Aspen Institute thing,” then take a call with Apple.
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Twitter Files 3
24. Here, the FBI sends reports about a pair of tweets, the second of which involves a former Tippecanoe County, Indiana Councilor and Republican named @JohnBasham claiming “Between 2% and 25% of Ballots by Mail are Being Rejected for Errors.”
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24. Here, the FBI sends reports about a pair of tweets, the second of which involves a former Tippecanoe County, Indiana Councilor and Republican named @JohnBasham claiming “Between 2% and 25% of Ballots by Mail are Being Rejected for Errors.”
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Twitter Files 3
25. The FBI-flagged tweet then got circulated in the enforcement Slack. Twitter cited Politifact to say the first story was “proven to be false,” then noted the second was already deemed “no vio on numerous occasions.”
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25. The FBI-flagged tweet then got circulated in the enforcement Slack. Twitter cited Politifact to say the first story was “proven to be false,” then noted the second was already deemed “no vio on numerous occasions.”
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Twitter Files 3
26. The group then decides to apply a “Learn how voting is safe and secure” label because one commenter says, “it’s totally normal to have a 2% error rate.” Roth then gives the final go-ahead to the process initiated by the FBI:
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26. The group then decides to apply a “Learn how voting is safe and secure” label because one commenter says, “it’s totally normal to have a 2% error rate.” Roth then gives the final go-ahead to the process initiated by the FBI:
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Twitter Files 3
27. Examining the entire election enforcement Slack, we didn’t see one reference to moderation requests from the Trump campaign, the Trump White House, or Republicans generally. We looked. They may exist: we were told they do. However, they were absent here.
[Image connected to this post]
31. In one case, former Arizona governor Mike Huckabee joke-tweets about mailing in ballots for his “deceased parents and grandparents.”
32. This inspires a long Slack that reads like an @TitaniaMcGrath parody. “I agree it’s a joke,” concedes a Twitter employee, “but he’s also literally admitting in a tweet a crime.”
The group declares Huck’s an “edge case,” and though one notes, “we don’t make exceptions for jokes or satire,” they ultimately decide to leave him be, because “we’ve poked enough bears.”
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
27. Examining the entire election enforcement Slack, we didn’t see one reference to moderation requests from the Trump campaign, the Trump White House, or Republicans generally. We looked. They may exist: we were told they do. However, they were absent here.
[Image connected to this post]
31. In one case, former Arizona governor Mike Huckabee joke-tweets about mailing in ballots for his “deceased parents and grandparents.”
32. This inspires a long Slack that reads like an @TitaniaMcGrath parody. “I agree it’s a joke,” concedes a Twitter employee, “but he’s also literally admitting in a tweet a crime.”
The group declares Huck’s an “edge case,” and though one notes, “we don’t make exceptions for jokes or satire,” they ultimately decide to leave him be, because “we’ve poked enough bears.”
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Twitter Files 3
33. "Could still mislead people... could still mislead people," the humor-averse group declares, before moving on from Huckabee
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33. "Could still mislead people... could still mislead people," the humor-averse group declares, before moving on from Huckabee
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
Twitter Files 3
[He used the same number twice]
33. Roth suggests moderation even in this absurd case could depend on whether or not the joke results in “confusion.” This seemingly silly case actually foreshadows serious later issues:
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[He used the same number twice]
33. Roth suggests moderation even in this absurd case could depend on whether or not the joke results in “confusion.” This seemingly silly case actually foreshadows serious later issues:
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Twitter Files 3
34. In the docs, execs often expand criteria to subjective issues like intent (yes, a video is authentic, but why was it shown?), orientation (was a banned tweet shown to condemn, or support?), or reception (did a joke cause “confusion”?). This reflex will become key in J6.
[Images connected to this post]
35. In another example, Twitter employees prepare to slap a “mail-in voting is safe” warning label on a Trump tweet about a postal screwup in Ohio, before realizing “the events took place,” which meant the tweet was “factually accurate”:
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
34. In the docs, execs often expand criteria to subjective issues like intent (yes, a video is authentic, but why was it shown?), orientation (was a banned tweet shown to condemn, or support?), or reception (did a joke cause “confusion”?). This reflex will become key in J6.
[Images connected to this post]
35. In another example, Twitter employees prepare to slap a “mail-in voting is safe” warning label on a Trump tweet about a postal screwup in Ohio, before realizing “the events took place,” which meant the tweet was “factually accurate”:
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
Twitter Files 3
36. “VERY WELL DONE ON SPEED” Trump was being “visibility filtered” as late as a week before the election. Here, senior execs didn’t appear to have a particular violation, but still worked fast to make sure a fairly anodyne Trump tweet couldn’t be “replied to, shared, or liked”:
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36. “VERY WELL DONE ON SPEED” Trump was being “visibility filtered” as late as a week before the election. Here, senior execs didn’t appear to have a particular violation, but still worked fast to make sure a fairly anodyne Trump tweet couldn’t be “replied to, shared, or liked”:
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
Twitter Files 3
"VERY WELL DONE ON SPEED": the group is pleased the Trump tweet is dealt with quickly
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"VERY WELL DONE ON SPEED": the group is pleased the Trump tweet is dealt with quickly
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
Twitter Files 3
37. A seemingly innocuous follow-up involved a tweet from actor @realJamesWoods, whose ubiquitous presence in argued-over Twitter data sets is already a #TwitterFiles in-joke.
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37. A seemingly innocuous follow-up involved a tweet from actor @realJamesWoods, whose ubiquitous presence in argued-over Twitter data sets is already a #TwitterFiles in-joke.
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
Twitter Files 3
38. After Woods angrily quote-tweeted about Trump’s warning label, Twitter staff – in a preview of what ended up happening after J6 – despaired of a reason for action, but resolved to “hit him hard on future vio.”
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38. After Woods angrily quote-tweeted about Trump’s warning label, Twitter staff – in a preview of what ended up happening after J6 – despaired of a reason for action, but resolved to “hit him hard on future vio.”
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
Twitter Files 3
39. Here a label is applied to Georgia Republican congresswoman Jody Hice for saying, “Say NO to big tech censorship!” and, “Mailed ballots are more prone to fraud than in-person balloting… It’s just common sense.”
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39. Here a label is applied to Georgia Republican congresswoman Jody Hice for saying, “Say NO to big tech censorship!” and, “Mailed ballots are more prone to fraud than in-person balloting… It’s just common sense.”
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Twitter Files 3
40. Twitter teams went easy on Hice, only applying “soft intervention,” with Roth worrying about a “wah wah censorship” optics backlash:
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
40. Twitter teams went easy on Hice, only applying “soft intervention,” with Roth worrying about a “wah wah censorship” optics backlash:
﴾ꕷѺṾⵟⱤⵟÌĠṆ﴿
Twitter Files 3
41. Meanwhile, there are multiple instances of involving pro-Biden tweets warning Trump “may try to steal the election” that got surfaced, only to be approved by senior executives. This one, they decide, just “expresses concern that mailed ballots might not make it on time.”
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41. Meanwhile, there are multiple instances of involving pro-Biden tweets warning Trump “may try to steal the election” that got surfaced, only to be approved by senior executives. This one, they decide, just “expresses concern that mailed ballots might not make it on time.”
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