The post critiques government staffing decisions by highlighting that a majority of public service staff are lawyers, suggesting a lack of appropriate expertise in policy implementation.
How the framings classify across 4 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.
Uh first of all, Christopher Luxon in a hot pick outfit. Fantastic. He is looking at it. Economic growth. Yeah, economic growth is set uh as creating 220,000 more jobs. Doesn't that sound good? Doesn't that sound like a government that's but it's a job creating government? That's fantastic.
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.
9,000 job cuts impacting regional communities
#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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