This piece warns that the Iran-Middle East conflict is disrupting global fertilizer supply chains, leading to rising costs and crop failures in key food-producing nations like India and the United States, with severe implications for global food security.
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. 9 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.
The bottom line is, and we saw this in 23, 24, 25 in New Zealand. Yeah, when you need to break the back of inflation, you need to dish out some economic pain. And I think that economic pain is around the corner in a flow in Australia. Why? Because they've got an inflation problem and they've got a reserve bank that's fixated on inflation. So what's the space? You could see an awful lot of New Zealanders that have gone to Australia, suddenly decide on coming home.
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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