The podcast discusses controversies surrounding Melania Trump's press conference denying ties to Jeffrey Epstein, Woolworths' expansion of pre-packed meat trials leading to butcher job losses, and the underwhelming nature of Auckland's new city deal, while also touching on local,
Stacked weekly counts; colour by lean. “n/a” covers government and iwi-Māori sources where lean isn't applicable.
How this topic has been named, week by week. A new alias winning out is usually a framing shift.
How the news corpus has covered this same topic over the last 12 weeks. 1 article from RNZ, Stuff, NZ Herald, ODT, 1News, Newsroom and The Spinoff. Click through to the press view for the full panel.
Verbatim segments from politicians speaking on podcasts and radio shows about this topic. Sourced via the voice-reference library — each speaker has been confirmed manually from their voice clip. Click play to stream the original audio from the publisher, pre-seeked to the moment the quote starts.
I think we could do more. I think what would be amazing for New Zealand, actually any country, Australia is no different, is to try and own and control as much of your AI infrastructure as you can, so that the things that you really want to stay in New Zealand, the things that are going to keep New Zealand secure in a volatile world ahead, are actually in infrastructure that's in our country. We have all the capability to do it and great renewable energy resource to do it. I think we could probably move quicker on bringing that compute, the actual computers to New Zealand, uh more sovereign, if you like, uh format. But we're working on that. I think it will happen, but it's a big opportunity, not just for all the economic growth that that development brings, but I think securing the future of the country in an increasingly digital world.
Up to 12 framings spread across orientations. Each framing is a short phrase the topic extractor generated to characterise the piece's stance — not a quote from the source. Click through to read the original.
Social-media signal on the same topic, drawn from the social lens. Engagement is likes + 2×shares + 3×replies, the same weighting used across the digest cards. View on /social →
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