A discussion on solar energy in New Zealand, including concerns about product quality, subsidy schemes, and potential for local manufacturing, alongside a critique of political messaging tactics between Labour and National.
How the framings classify across 5 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.
Uh yes, I did. Did you enjoy it? Um, yeah, it's I mean, it can be it can be a very nasty little campaign, social media campaign. But uh the thing is very funny. It's against all against um Chris Luxon. Um they had him and his in the 90s, and he just looks like a absolutely younger version of himself. I mean, in the 90s at least I had quite a bit of hair. In the nineties. Quite a handsome young man, but looks exactly like he does today, just younger. Um, and uh, you know, they poked the Borax at them. And the Labour Party in the past has uh uh disassociated themselves uh themselves from this campaign. And you can see you'll see much more of this social media attack uh dogs in the lead up to the election. Well, Labour, they came unstuck over a toast.
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 →
Spotted something wrong on this page? Report a correction.
