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Digital Rights Scorecard

Tracking 10 key indicators across 194 countries to assess digital rights protections for vulnerable populations

What is the Scorecard?

The Digital Rights Scorecard is a comprehensive research tool that tracks 10 critical indicators of digital rights protections across 194 countries worldwide. It focuses specifically on the intersection of digital technology governance and the rights of vulnerable populations, particularly LGBTQ+ individuals and children.

Each country receives scores on a 0-1-2 scale for each indicator, enabling comparative analysis of digital rights frameworks globally.

Why It Exists

As digital technologies—especially artificial intelligence, biometric systems, and data-driven platforms—become increasingly embedded in daily life, their impact on vulnerable communities requires systematic monitoring.

The gap this addresses: - Existing digital rights indices focus on general privacy or internet freedom - Few track LGBTQ+-specific or child-specific digital protections - This scorecard brings child and LGBTQ+ rights into the same comparative framework for examining digital governance

Research foundation: This scorecard was developed for the research paper "Queer AI for the digital child: Examining the response to advanced digital technologies on the human rights of LGBTQ+ children in Africa" presented at the 2nd International Conference on Children's Rights (Stellenbosch, September 2025).

Quick Stats

  • 194 Countries

    Country assessments spanning the published scorecard

  • 10 Indicators

    AI Policy, Data Protection, LGBTQ+ Status, Child Protection, and more

  • 2,581 Source Links

    Links exported from the canonical workbook; inspect each country’s evidence

  • 26 June 2026

    Visualization snapshot generated; source-verification stamp 9 September 2025

What It Tracks

The 10 Indicators

  1. Data Protection Law - Existence of comprehensive data protection legislation
  2. DPA Independence - Independence of Data Protection Authority from executive control
  3. Children's Data Safeguards - Binding child-specific privacy/data-protection safeguards
  4. Child Online Protection Strategy - National framework addressing online harms to children
  5. SOGI Sensitive Data - Legal recognition of sexual orientation/gender identity as sensitive data
  6. LGBTQ+ Legal Status - Legal recognition and protection of LGBTQ+ individuals
  7. LGBTQ+ Promotion/Propaganda Offences - Laws restricting LGBTQ+ expression or advocacy
  8. AI Policy Status - National AI strategy or framework adoption
  9. DPIA Required for High-Risk AI - Requirement for Data Protection Impact Assessments for AI
  10. SIM Card Biometric ID Linkage - Biometric data requirements for SIM card registration

Scoring System

0-1-2 Scale per indicator: - 2 (Best) - Comprehensive protections or safeguards in place - 1 (Middle) - Partial protections or mixed implementation - 0 (Worst) - No protections, harmful policies, or heightened risk

Composite Metrics: - Protection Score: Sum of all 10 indicators (0-20 scale) - Risk Index: 100 − (Protection Score / 20 × 100) [inverted scale] - Data Completeness: Percentage of indicators with written justifications in the published visualization snapshot

Explore the Scorecard

Choose your path based on your needs:

  • Design & Methodology

    Understand how the scorecard was designed

    • Detailed indicator definitions
    • Scoring methodology
    • Data sources and validation
    • Limitations and caveats

    Learn About Design →

  • Data Access (API)

    Access scorecard data programmatically

    • REST API endpoints
    • CSV exports
    • Python examples
    • Direct file access

    Access the Data →

  • Visualization

    Explore visualizations and export options

    • Live: Interactive choropleth map, indicator & regional charts, country cards
    • Also: CSV exports, API queries

    View Visualizations →

  • Data Explorer

    Interactive data exploration tool

    • Live: Filter, search, sort, compare countries
    • Also: API or CSV exports

    Try Explorer →

Use Cases

Research Applications

Comparative Analysis: Compare digital rights frameworks across regions to identify patterns and gaps

Risk Assessment: Evaluate digital safety environments for vulnerable populations by country

Policy Tracking: Monitor changes in digital governance policies over time

Advocacy Evidence: Provide data-backed evidence for human rights advocacy

Example Research Questions

  • Which countries have comprehensive child data protections but criminalize LGBTQ+ identities?
  • How does biometric SIM registration correlate with LGBTQ+ legal status?
  • Which African countries have adopted AI strategies with data protection frameworks?
  • Where are LGBTQ+ children most at risk from digital surveillance?

Data Quality & Sources

Authoritative Sources

Sources include national laws and policy documents as well as international organizations and rights groups:

  • UNESCO - AI Policy Observatory
  • UNCTAD - Data Protection and Privacy Legislation Database
  • ILGA World - State-Sponsored Homophobia report (LGBTQ+ legal status)
  • UNICEF - Child protection measures and COP strategies
  • ITU - Telecom and internet regulations
  • Privacy International - Surveillance and biometric tracking
  • Human Rights Watch - Human rights monitoring

Validation & Monitoring

Quality Assurance: - URL checks record HTTP status, redirects and broken links - Change detection compares source content between runs - Country assessments bring together source evidence and interpretation

Transparency: - Country panels display source links and written assessments where available - Local URL-check outputs are documented in the Scorecard Workflow - Full methodology documented in Design & Methodology

Quick Start Examples

API Access

Query the scorecard via the REST API — copy-paste examples (per-country, region filters, and indicator statistics) live in the API Quick Start.

Python Analysis

Use the snapshot query example for scored indicator combinations, or the API examples for local country values and sources.

CSV Export

# Export scorecard data
python pipeline_runner.py --mode scorecard --scorecard-action export

# Generates:
# - data/exports/scorecard_summary.csv (countries × indicators)
# - data/exports/scorecard_sources.csv (all source URLs)
# - data/exports/scorecard_indicator_counts.csv (status distributions)

Citation

For the published scorecard, cite LittleRainbowRights Scorecard, snapshot generated 26 June 2026, your access date and the source-linked assessments used. Project citation guidance distinguishes the research presentation, dataset and software.

The DigitalChild release DOI identifies software. Project-authored scorecard data uses CC BY 4.0 where specified; third-party sources retain their own terms.

Reading the assessments

The scorecard compares documented laws and policy frameworks using a three-point scale. Read the country assessments alongside their original sources, with attention to:

  • Dates: the snapshot was generated on 26 June 2026; the source-verification stamp is 9 September 2025.
  • Coverage: written justifications and accessible sources vary across countries and indicators.
  • Context: enforcement, local experience and differences within federal systems add detail beyond a national comparison.
  • Relationships: indicators such as criminalization and biometric identification may interact in ways that merit closer study.

Design & Methodology explains the scoring rules and analytical scope. Include the snapshot date and relevant sources when citing an assessment.

Future Enhancements

Planned features (see Roadmap):

  • REST API software for self-hosted programmatic access — implementation available; separate from the public static website
  • Interactive map & charts (Plotly.js) ✅ LIVE (see Visualization)
  • Country comparison tool ✅ LIVE (radar comparison in the Data Explorer)
  • Source transparency monitoring ✅ LIVE (see Transparency Watch)
  • Time-series tracking of policy changes
  • Real-time source monitoring alerts
  • Expanded indicators (target: 15-20 total)
  • Sub-national data (states/provinces for federal systems)
  • Integration with other digital rights indices

Assessment records

Source-linked assessments and published versions should retain dates, interpretation and limitations. Data Governance describes these responsibilities.

Technical Documentation

For developers and researchers working with the scorecard system:

Interpretation and guidance

Scorecard methods · Documentation · Data Governance · FAQ

License

  • Scorecard Data: CC BY 4.0
  • Code & Pipeline: MIT License

See LICENSE-DATA and LICENSE for details.