The article critiques the Liberal Party's inconsistent stance on preferring One Nation, questions the credibility of Treasurer Jim Chalmers' housing and tax policy shifts, and highlights ongoing political tensions around party identity, coalition dynamics, and broken promises.
How the framings classify across 3 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.
Yeah, well, I mean, Jim Chalmers, the treasurer, he's really broken a halt. That's all the publicity is about all these broken promises. Um, you know, I think that the quote that came from Andrew of Albanici last year when he was uh going to the electorate was uh for the 50th time there will be no changes to capital gains tax or negative gearing or other investments. And what has he done? Changed all of those things. So you don't have capital gains tax in New Zealand, I think, do you, Jo, do you, Jamie?
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.
politically motivated tax crackdown
Albanese government uses its political dominance to implement a ‘Labor’ agendatargeting wealth transfer to baby boomers
The Country 14/05/26: Chris Russell talks to Jamie MackaySocial-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 →
Spotted something wrong on this page? Report a correction.
