This briefing covers a range of political controversies in New Zealand, including allegations of a homophobic slur by a TVNZ political editor, Prime Minister Luxon’s decision to cancel weekly media interviews, and criticisms of government economic and environmental policies, with
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. 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.
If an election were held today, the coalition government would likely be returned to power and not by a narrow margin. A new NZ Herald Motu Research poll of polls model suggests that government has an 88% chance of winning a second term with support across national act and New Zealand First holding steady. It's a snapshot that raises some interesting questions though. Like, why isn't Labour's recovery translating into a path back to power? What's behind New Zealand First's surge and how much can we really read into polling this far out from an election? Today on the front page, NZ Herald political editor Thomas Coglin joins us to break down all of the numbers and what they're telling us.
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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