Signalcrest
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aientity · corroborated across sources

offensive language detection

for nlp engineers

Steady

10

signal score

1

live items

Too early

trajectory — needs a few more snapshots

arxiv

Why this scored 10

every term, weighted
Velocity+0.0 / 40 max

Its fastest-moving item, measured against the pace of its own source

Acceleration+0.0 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25 max

How many independent communities its own items come from

Recency+10.0 / 10 max

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty0.0 / 30 max

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite10.0

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement. Full methodology

Signal history

7-day window (free)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 19

    The Cross-Domain Generalization Cost of Offensive Language Detection

    Offensive language detection costs — for nlp engineers

    arxivaiSteady2d ago