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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.
Weekly Rolling 7 days
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Week of 1 Jun 2026
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Press topic

Ai And Economic Stability

1 articles · 1 aliases in press · peaked week of 17 May 2026 · first seen 29 Apr 2026

This piece examines the impact of AI on New Zealand's workforce, highlighting job displacement across sectors, the potential need for universal basic income and reskilling, and the broader societal risks and opportunities arising from AI adoption.

Coverage by outlet lean Methodology →

Stacked weekly counts; colour by editorial lean. Stuff and The Spinoff lean centre-left, NZ Herald centre-right, others centre.

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Alias drift

How press outlets have named this topic, week by week.

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Recent headlines

Most recent 1 articles linking to this topic.

Sample framings

Up to 12 framings spread across outlets. Each framing is the LLM's one-line characterisation of the article's editorial angle — not a quote.

stuff Centre-left

ai creates opportunities across industries

An open letter to Nicola Willis: AI should create jobs, not cut them
21 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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