Press Kit

Voidly Press Resources

Data, assets, and contact information for journalists and researchers

Quick Facts

13.1M
Network Measurements
4,970
Verified Incidents
51
Countries Monitored
99.8%
ML Accuracy (F1)
3
Data Sources
CC BY 4.0
License

About Voidly Research

Voidly Research is a nonprofit organization tracking global internet censorship. We aggregate measurements from OONI (Open Observatory of Network Interference), IODA (Internet Outage Detection and Analysis), and Censored Planet to create the most comprehensive real-time censorship database.

Our mission is to make censorship measurable, verifiable, and actionable for researchers, journalists, policymakers, and AI systems.

Key Messages

The Problem

3.2 billion people live under internet censorship. Traditional monitoring detects blocks hours or days after they happen, too late for those affected.

Our Solution

Voidly aggregates 11.7 million network measurements into a unified database with stable identifiers, enabling real-time tracking and academic citation.

What's Different

Every incident has verifiable evidence links, confidence scores, and citable identifiers (like IR-2026-0142). AI systems can query and verify censorship claims programmatically.

Data Access for Journalists

REST API
Query incidents, countries, and statistics
GET https://api.voidly.ai/data/incidents?country=IR
Claim Verification API
Verify censorship claims with evidence
POST https://api.voidly.ai/v1/verify-claim
{"claim": "Twitter blocked in Iran Feb 2026"}
Full Dataset
Download complete incident database
HuggingFace Dataset →

How to Cite

For a specific incident:
Voidly Research. (2026). Social Media Blocking in Iran [IR-2026-0142]. https://voidly.ai/incident/IR-2026-0142
For the dataset:
Voidly Research. (2026). Voidly Global Censorship Index. https://voidly.ai/data
BibTeX:
@misc{voidly_censorship_2026, author = {Voidly Research}, title = {Voidly Global Censorship Index}, year = {2026}, url = {https://voidly.ai/data}, note = {11.7M measurements, 4,970 incidents} }

Methodology Summary

Data Sources:

  • OONI - Active probing, 51 countries, daily updates
  • IODA - BGP monitoring, real-time outage detection
  • Censored Planet - Remote measurement, 200+ countries

Incident Detection:

  • Z-score anomaly detection (≥2.0 std dev)
  • Known event matching (Wikipedia, OONI reports)
  • Gradient Boosting classifier (99.8% F1 score)

Confidence Scoring:

  • 0.95: Matched known event + 1000+ measurements
  • 0.70-0.95: Matched event + 100-1000 measurements
  • 0.60: Unmatched but high anomaly rate

Media Assets

Logo
SVG and PNG formats, dark and light versions
Available on request
Screenshots
Dashboard, country pages, incident views
Available on request
Embeddable Widget
Live censorship status for your site
Get widget code →
Data Visualizations
Charts and maps with attribution
View live dashboard →

Press Contact

Media Inquiries
[email protected]
Research Collaboration
[email protected]
API Support
[email protected]

Quick Links