FLAGGED
APPROVED
BOOSTED
FLAGGED
APPROVED
BOOSTED
Social Media Use Case

Make Content Moderation AI Auditable

Every flagging decision, every feed ranking, every bot detection — observable, queryable, and explainable. Finally answer: "Why was this post removed?"

SD.31.07 • Social Media AI Observability

Live Event Stream — Social Platform Moderation AI

Posts Analyzed

847,293
↑ 12.3% vs last hour

Content Flagged

2,847
↓ 8.1% vs last hour

Appeals Resolved

1,204
↑ 23.5% vs last hour

Bots Detected

15,892
↑ 31.2% vs last hour

Query Any Moderation Decision

Why was this post flagged?

Trace the exact decision path for any content moderation action

SELECT * FROM events
WHERE event_id LIKE 'moderation.content.%'
AND post_id = '1234567890'
ORDER BY timestamp DESC

Why is this in my feed?

Understand exactly how the algorithm ranked this content for you

SELECT ranking_factors, score
FROM events
WHERE event_id = 'recommendation.feed.ranked:1'
AND user_id = 'user_abc'

Is this account a bot?

Review all signals that contributed to bot detection

SELECT signals, confidence
FROM events
WHERE event_id LIKE 'detection.bot.%'
AND account_id = 'account_xyz'

Who approved the appeal?

Full audit trail of human review decisions

SELECT reviewer, decision, reason
FROM events
WHERE event_id = 'appeal.review.completed:1'
AND appeal_id = 'appeal_123'

Before vs. After Event Model

Before: Black Box Moderation

Day 1 User post removed, no explanation given
Day 3 User appeals, waits in queue
Day 14 Generic "policy violation" response
Day 30 Regulator inquiry — no audit trail
Day 90 DSA fine: millions for lack of transparency

After: Observable AI

T+0 moderation.content.flagged:1 — reason attached
T+1min User sees: "Flagged for: misleading claim"
T+2min appeal.request.submitted:1 — instant queue
T+4hr appeal.review.completed:1 — restored
Audit Full event chain provided in seconds

Why Event-Driven Moderation Wins

Algorithm Transparency

Every recommendation, every ranking decision logged with full reasoning. Users can finally understand "why this?"

Trust & Safety Audit

Complete audit trails for every moderation action. Defend decisions with data, not guesswork.

Faster Appeals

With full event context, human reviewers resolve appeals 10x faster. No more guessing what happened.

Bot Network Detection

Pattern analysis across millions of events reveals coordinated inauthentic behavior instantly.

Regulatory Reports

Generate DSA transparency reports automatically. Every metric backed by queryable event data.

User Trust

When users understand why content appears or disappears, they trust the platform more.

Built for Social Media Compliance

DSA
EU Digital Services Act
FTC
Federal Trade Commission
GDPR
Data Protection Rights
AI Act
EU AI Regulation

Ready to Make Moderation AI Transparent?

Join platforms building user trust through observable AI. Start with the Event Model today.