A River of News

Trump taps intel chief Jay Clayton to lead new Super Intelligence Force

11 publications, in the order they reported. The story spread over 55 hours 41 minutes. Words in highlight are ones the first headline did not use. All top stories · On NewsMarkets

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Publications over time

13:48 UTC21:30 UTC11 publications
Publications in order of reporting
#Time (UTC)After the firstPublicationHeadline
1firstCointelegraphTrump taps intel chief Jay Clayton to lead new Super Intelligence Force by Cointelegraph by Robert Lakin
2+15 minutesFortune (limited free articles)Trump names national intelligence director Jay Clayton to lead new ‘Super Intelligence Force’ on AI by The Associated Press
3+26 minutesThe HillTrump announces 'Super Intelligence Force' led by DNI Jay Clayton by Elliott Davis
4+38 minutesWashington Post (limited free articles)Trump launches ‘Super Intelligence Force’ after calls for AI slowdown by Cat Zakrzewski
5+1 hour 26 minutesTechCrunchTrump unveils his new Super Intelligence Force by Anthony Ha
6+2 hours 41 minutesEngadgetTrump announces an AI czar for his newly created 'Super Intelligence Force'
7+3 hours 12 minutesDecryptTrump Taps Jay Clayton, the SEC Chair Who Sued Ripple, to Lead AI Push by Decrypt Staff
8+4 hours 48 minutesNPRTrump names national intelligence chief Jay Clayton as new AI czar by Chandelis Duster
9+20 hours 15 minutesBBCTrump chooses top spy boss to run new AI taskforce
10+20 hours 21 minutesFrance 24Trump names Jay Clayton as AI czar to lead 'Super Intelligence Force' by Bryan QUINN
11+55 hours 41 minutesPoliticoRead the charter for the White House’s ‘Super Intelligence Force’ by Jacob Wendler

Who covered it, by audience

7 of 11 publications on this story have an audience score. None of the rated publications whose audience leans Republican covered it, while 3 on the other side did.

Publications by the political lean of their audience
Audience leans Democratic (3)Mixed audience (4)Audience leans Republican (0)
None

Audience lean comes from Robertson, R. E., Jiang, S., Joseph, K., Friedland, L., Lazer, D., and Wilson, C. (2018), Auditing Partisan Audience Bias within Google Search, Proceedings of the ACM on Human-Computer Interaction 2(CSCW), article 148, used with the authors' permission. The score shows which party's registered voters, on Twitter, shared an outlet's links more. It is not a rating of the outlet's own slant, and it dates from 2018. See how we use it.