| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-classification |
| - question-answering |
| language: |
| - en |
| tags: |
| - internet-freedom |
| - censorship |
| - human-rights |
| - network-measurements |
| - ooni |
| pretty_name: Voidly Global Censorship Index |
| size_categories: |
| - n<1K |
| --- |
| |
| # Voidly Global Censorship Index |
|
|
| Real-time internet censorship measurements for 126 countries, based on 15,630,958+ OONI network probes. |
|
|
| ## Dataset Description |
|
|
| The Global Censorship Index provides country-level internet censorship scores derived from actual network measurements. Unlike annual expert assessments, this data updates daily. |
|
|
| ### Key Statistics |
|
|
| - **Countries covered:** 126 |
| - **Total measurements:** 15,630,958 |
| - **Severe censorship:** 3 countries |
| - **High censorship:** 2 countries |
| - **Update frequency:** Daily |
|
|
| ### Most Censored Countries (Top 10) |
|
|
| | Rank | Country | Score | Level | |
| |------|---------|-------|-------| |
| | 1 | TM | 100% | severe | |
| | 2 | China | 66% | severe | |
| | 3 | OM | 50% | severe | |
| | 4 | Iran | 45% | high | |
| | 5 | Russia | 32% | high | |
| | 6 | Yemen | 21% | medium | |
| | 7 | Myanmar | 20% | medium | |
| | 8 | Venezuela | 18% | medium | |
| | 9 | United Arab Emirates | 15% | medium | |
| | 10 | Saudi Arabia | 14% | medium | |
|
|
| ## Data Fields |
|
|
| - `country_code`: ISO 3166-1 alpha-2 country code |
| - `country_name`: Full country name |
| - `censorship_score`: 0-100 score (100 = total censorship) |
| - `threat_level`: Categorical level (free, low, medium, high, severe) |
| - `block_rate`: Fraction of tested URLs blocked (0.0-1.0) |
| - `total_measurements`: Number of OONI probe tests |
| - `blocked_measurements`: Number of blocked test results |
| - `web_connectivity_tests`: Website accessibility tests |
| - `telegram_tests`: Telegram app connectivity tests |
| - `whatsapp_tests`: WhatsApp connectivity tests |
| - `isp_count`: Number of ISPs with data |
| - `top_blocking_isps`: List of ISPs with highest block rates |
| - `rank`: Global ranking by censorship severity |
|
|
| ## Scoring Methodology |
|
|
| Censorship scores are calculated from block rate percentages: |
|
|
| | Score Range | Level | Description | |
| |------------|-------|-------------| |
| | 0-4 | Free | Minimal censorship | |
| | 5-9 | Low | Limited censorship | |
| | 10-24 | Medium | Moderate censorship | |
| | 25-49 | High | Significant censorship | |
| | 50-100 | Severe | Pervasive censorship | |
|
|
| ## Data Sources |
|
|
| - **Primary:** OONI (Open Observatory of Network Interference) - 15,630,958+ measurements |
| - **Supplementary:** Distributed sensor network (16 nodes), anonymized VPN telemetry |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("voidly/global-censorship-index") |
| |
| # Get most censored countries |
| for entry in dataset['train']: |
| if entry['threat_level'] == 'severe': |
| print(f"{entry['country_name']}: {entry['censorship_score']}%") |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{voidly2025censorship, |
| title={Global Censorship Index}, |
| author={Voidly Research}, |
| year={2025}, |
| url={https://voidly.ai/censorship-index}, |
| note={Data set. Updated daily.} |
| } |
| ``` |
|
|
| ## License |
|
|
| CC BY 4.0 - Free to use with attribution. |
|
|
| ## Links |
|
|
| - [Interactive Index](https://voidly.ai/censorship-index) |
| - [API Documentation](https://voidly.ai/api-docs) |
| - [Methodology](https://voidly.ai/methodology) |
| - [Data Catalog](https://voidly.ai/data) |
|
|
