A number of journalists have been exploring

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asimm22
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Joined: Thu May 22, 2025 5:29 am

A number of journalists have been exploring

Post by asimm22 »

News outlets have been getting the word out on Internet Archive efforts to preserve President-elect Donald Trump’s statements; the outgoing Obama Administration’s web page and government data; as well as preventing that nasty experience of encountering a “404” when you click on a link online, aka “link rot.”

Trump Archive

The riches contained within the newly launched Trump Archive, a TV news clips of the president-elect speaking peppered with links to more than 500 fact checks by national fact-checking groups.

Annie Wiener, writing for The New Yorker, immerses whatsapp lead herself in Trump statements and discovers 56 mentions of the escalator in Trump tower, and that Trump:

“is a fan of the word “sleaze,” and of the phrase “tough cookie,” which he has used to describe polic emen, his opponents’ political donors, Paul LePage, “real-estate guys in New York and elsewhere,” an unnamed friend who is a “great financial guy,” isis, three professional football players, Reince Priebus, Lyndon Johnson, and Trump’s father, Fred. After watching long stretches of video, she writes, “It occurred to me that spending time online in the Trump Archive could be a form of immersion therapy: a means of overcoming shock through prolonged exposure.”

Geoffrey Fowler, tech columnist for The Wall Street Journal, bemoans the lack of easy-to-use tech tools to help people be responsible citizens overall, but also notes the promise–and challenge–of a curated collection like the Trump Archive:

“The Trump Archive shows what’s hard about using tech to hold officials accountable. It’s assembled and hand-curated by humans. Yet even using the transcripts, it can be hard to tell the difference between a spoken name and a person who’s actually speaking. Archive officials say making their database applicable to hundreds or thousands more politicians would require help from tech firms with capabilities in machine learning and voice and facial recognition.”
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