Researchers at the University of Auckland are trialing smartwatches to predict asthma attacks up to a week in advance, offering patients earlier warnings and greater control over their condition.
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. 5 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.
All right. All right, boys. Uh we've just been talking about an ADH online service. And of course, we're in a new era of online, somewhat depersonalized healthcare. We've got the rise and rise of 10, and now this is this thing HGHD uh simple. Uh do you trust this new era, Tim?
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.
proactive, user-driven wellbeing support
FSC Awards 2025 finalists announced: innovation and ESG sector leadership on the riseefficient but potentially flawed technology
The Huddle: What can we do to stop people from smoking illegal cigarettes?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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