The National Party has lodged a complaint with TVNZ alleging that reporters harassed its chief whip, Stuart Smith, over his refusal to comment on political developments, while TVNZ defends its reporting as public interest journalism and questions the legitimacy of the complaint.
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. 8 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.
Okay, I can say that, yeah, no, I can, and also quite independently from Jordan Jordan and I haven't discussed this in studio, I can tell you very, very confidently that is not where this has started. This has started Okay, with a member then. of the media. But I think it's a fair conclusion to jump to because I think you and I can both see the nets are coming for the media and so FXO is acting in New Zealand first.
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.
commonplace context versus reputational risk
Three former TV political editors on the whole Maiki Sherman sagabalance between reporting freedom and institutional boundaries
The Press and politicians’ perks – the spotlight goes on Brownlee while he considers the fate of Stuff journosSocial-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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