OpenBrief
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.
live window
Topic · social

Digital Safety Policy

22 posts · 1,112 engagement · first seen 5 May 2026 · last seen 12 Jun 2026

A commentary by Matthew Tukaki calls for urgent action against online abuse of women, highlighting the rise in cyber harassment, inadequate legal protections, and the cultural normalization of hostility, urging men to take responsibility and institutions to improve moderation and

Stance breakdown

How the per-edge framings classify across 22 classified edges. Each framing is labelled by a small AI stance classifier; see the methodology page for details.

64%
23%
9%
Supportive 14 Critical 5 Neutral / explainer 2 Mocking 1

Sentiment breakdown

Whole-post emotional valence across 22 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.

18%
59%
23%
Positive 4 Neutral 13 Negative 5

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 · 968 engagement
    968
  • reddit
    1 post · 125 engagement
    125
  • youtube
    19 posts · 11 engagement
    11
  • twitter
    1 post · 8 engagement
    8

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.