Key Metrics & Data

Transparent, audited performance indicators covering content scale, verification integrity, user engagement, and platform growth. Updated quarterly.

Reporting Period: Q4 2024
Last Audited: Dec 15, 2024
Next Update: March 2025
Total Articles
2,418,750
+14.3% vs Q3
Monthly Active Users
12.4M
+8.7% vs Q3
Fact-Verification Rate
99.91%
+0.02% vs Q3
Search Queries / Month
2.1B
+11.2% vs Q3
Active Contributors
182,400
+5.4% vs Q3
Avg. Review Cycle
3.2 Days
-0.4 days vs Q3

Content Scale & Distribution

Breakdown by discipline and language coverage

Discipline Distribution

STEM
42%
Humanities
28%
Social Sciences
18%
Arts & Culture
12%

Top Languages

LanguageArticlesCoverage
English892,104Full
Spanish418,332Full
Mandarin387,201Full
French294,550Core
Arabic241,800Core
Other (135+)184,763Growing

Quality & Verification Metrics

Accuracy tracking, review standards, and expert oversight
Metric Current Q3 2024 Change Methodology
Primary Source Citation Rate 94.7% 93.1% +1.6% Auto-scraper + manual audit
Peer Review Completion Time 3.2 days 3.6 days -0.4d Ticket-to-publish pipeline
Disputed Claims Resolved 12,840 11,205 +14.6% Community flagging system
Expert Contributor Ratio 38% 36.2% +1.8% Verified credentials / ORCID match
AI-Assisted Fact Checks 8.4M / mo 7.1M / mo +18.3% NLP cross-reference engine

User Engagement & Platform Usage

Session depth, search performance, and retention indicators

Quarterly Search Volume

Q2 '24
Q3 '24
Q4 '24
Q1 '25*

*Projected based on current trajectory

Session & Retention

  • Avg. Session Duration 8m 42s
  • Pages per Session 4.3
  • 7-Day Retention 68.4%
  • 30-Day Retention 41.2%
  • Mobile Traffic Share 64.8%
  • API Requests / Month 340M

Data Collection & Reporting Methodology

How we calculate, audit, and maintain transparency

Verification Pipeline

All articles pass through a three-tier review system: automated citation matching, subject-matter expert review, and community validation. Claims lacking primary sources are flagged and held in draft until resolved.

Engagement Tracking

Usage metrics are collected via anonymized, GDPR-compliant analytics. We do not track personal identifiers. Session data is aggregated and smoothed using a 14-day moving average to filter anomalies.

Audit & Transparency

External academic partners conduct quarterly audits of our accuracy claims. Full audit reports, methodology updates, and raw metric exports are available to registered researchers upon request.