What the picker changes

Top topics digest — the cards score the selected period against the prior 4 weeks.
12-week heatmap & outlet matrix — show the 12 weeks ending at the selected week (they slide back with the picker, they aren’t a fixed snapshot).
Per-topic volume / alias drift — same 12-week trailing window, anchored on the selected period.
Coverage gap quadrant — scores the selected period against the 12 weeks before it (not including it).
Anomaly cards — only show alerts the detector fired during the selected period. Quiet weeks legitimately show none.

What stays as-is

Outlet orientation strip / lean colours — context-only, drawn from the last 12 weeks of activity regardless.
Co-occurrence graph — recent-activity anchored, not picker-driven.
Source & topic profiles — all-time data for the topic; the picker doesn’t affect them.

Rolling 7 days is a sliding live window for “current vibes”; switch to Weekly to compare specific weeks side-by-side.

Weekly Rolling 7 days

live window

Topic

Gas Turbines As Backup

2 items · 2 aliases · peaked week of 9 Aug 2026 · first seen 18 Jul 2026

The post critiques the adequacy of large battery storage for grid reliability, arguing that they cannot provide sustained power during periods of low renewable generation, and highlights the role of gas turbines as a more reliable backup.

Sample framings

Up to 12 framings across outlets and orientations — each a short phrase the extractor generated to characterise the piece's editorial angle (not a quote). Filter by lean to see how each bloc is spinning the story; click through to read the original.

newsroom-opinion Centre

essential for hydro dependence

Power Play: The ideas to overhaul the electricity system and loosen the grip of gentailers

13 Aug

Volume by source orientation Methodology →

Stacked weekly counts; colour by lean. “n/a” covers government and iwi-Māori sources where lean isn't applicable.

Alias drift

How this topic has been named, week by week. A new alias winning out is usually a framing shift.

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How the public reacted

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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