OpenBrief
⌘K
Log in Sign up
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 · social

Move On Orders

26 posts · 2,644 engagement · first seen 20 Jul 2022 · last seen 8 Sep 2026

Proposed New Zealand legislation that would grant police the power to issue directions requiring rough sleepers and others to leave public spaces, and the ensuing policy debate over its effects on homelessness, civil liberties, and enforcement.

Stance breakdown

How the per-edge framings classify across 16 classified edges. Each framing is labelled by a small AI stance classifier; see the methodology page for details.

88%
Supportive 1 Critical 14 Neutral / explainer 1

Sentiment breakdown

Whole-post emotional valence across 16 classified posts that reference this topic. Distinct from stance: a post can be supportive of the topic and still negative in tone (an angry supporter) — the two together capture the texture short-form posts compress into very few words.

19%
13%
69%
Positive 3 Neutral 2 Negative 11

Platform mix

Where the conversation is happening. Engagement is volume-weighted (likes + 2×shares + 3×replies); a small number of high-impact posts can outrank a high-volume but low-engagement platform.

  • facebook
    1 post · 803 engagement
    803
  • youtube
    7 posts · 655 engagement
    655
  • reddit
    7 posts · 532 engagement
    532
  • twitter
    1 post · 7 engagement
    7

Top posts by engagement

The most-engaged posts referencing this topic. Engagement is likes + 2×shares + 3×replies; the order matches the digest ranking on /social.