A report highlights a significant nationwide decline in employment over two years, with job losses across key industries and regions, and criticizes the government for lacking a coherent response to the economic downturn.
How the framings classify across 13 articles. Each framing is labelled by a small AI stance classifier; see the methodology page for details.
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. 4 articles 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.
What infrastructure do we need to do? How many hospitals do we need to do? Do we need to do one a decade? Okay, let's fund that. You know, I know not everybody likes the military, but but sitting there and going, hey, rather than bitching and fighting and buying a whole bunch of military stuff all at once. Let's have a fucking plan. You know, and then build your your tax program around that. Look at the things that are really affecting everyday New Zealanders. Nobody wants to touch the housing market. It's it's too scary. But the but the thing is no one wants to go after the Aussie supermarkets and banks, those are things that would have a dramatic effect on everyday New Zealanders.
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.
punching down budget targeting regional economies
#BHN Budget Day Special with Chris Hipkins and Ricardo Menéndez MarchSocial-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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