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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.
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Topic

Political Disloyalty Narratives

7 items · 6 aliases · peaked week of 12 Apr 2026 · first seen 28 Apr 2026

This piece examines the internal instability within New Zealand's National Party, focusing on Prime Minister Christopher Luxon's ongoing leadership challenges, the active media campaign by Chris Bishop, and a crisis of confidence involving the party's whip, Stuart Smith, all of哪个

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.

democracy-project Centre

charged with unverified claims of coup plots

Democracy Briefing: Luxon in limbo
18 Apr
kiwiblog Right

blamed on both parties' inaction and failure

General Debate 12 May 2026
11 May
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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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