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

Science Challenge Budget Misallocation

2 items · 2 aliases · peaked week of 5 Apr 2026 · first seen 28 Apr 2026

The Taxpayers' Union exposes how taxpayer-funded 'science' projects at the University of Auckland — including a horror graphic novel and a virtual reality game — are misaligned with actual biodiversity solutions, raising concerns about waste, misrepresentation, and lack of public

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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Sample framings

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.

taxpayers-union Right

public money diverted from science to arts and culture

Science funding to save the native trees: videos games and prayers

9 Apr

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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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