This piece explains how climate change is increasing landslide risks in New Zealand, particularly due to more frequent extreme rainfall, and how machine learning and satellite data are enabling better prediction and mapping of these hazards to protect communities.
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. 10 articles from RNZ, Stuff, NZ Herald, ODT, 1News, Newsroom and The Spinoff. Click through to the press view for the full panel.
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.
increasing frequency threatens vulnerable slopes
Climate change means more landslides in NZ – but new tech can help reduce the riskincreasing frequency and severity
#regional: Capital Under Siege: Massive Swells Trigger Emergency as Wellington Faces Climate RealitySocial-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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