A critical post highlighting concerns over an MP's high salary and its implication of taxpayer exploitation, framed as a breach of fairness and public trust.
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. 3 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.
Well, okay, in um uh 2015, John Key, when he was prime minister, uh they essentially gave MPs a three three and a half percent pay rise, and um John Key simply came out and said that was too high, and he legislated to tie it to the public sector growth rate uh in wages. And that's what they've essentially done since then because this one uh in July said it two percent. And I looked up uh to see where the movement was, was up to three percent. So they've taken it uh slightly on the lighter side. Uh, doing froze salaries after an increase uh that she thought was too high, and she passed a law uh opposing the increase. This is all about them look trying to look good. Yes, that's the one. No, but I well, but hey, I've got to go. Yeah, it up.
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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