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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 - No comprehensive dataset examines the intersection of digital governance and vulnerable populations

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

    Comprehensive global coverage across all UN member states and territories

  • 10 Indicators

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

  • 2,543 Source URLs

    Validated authoritative sources from UNESCO, UNCTAD, ILGA, UNICEF

  • January 2026

    Last updated with latest policy changes and new data

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 verified data

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

    • Current: CSV exports, API queries
    • Future: Interactive heatmaps, country cards

    View Visualizations →

  • Data Explorer

    Interactive data exploration tool

    • Coming soon: Filter, search, compare
    • Current: Use 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

All 2,543 source URLs come from authoritative international organizations:

  • 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: - All 2,543 URLs automatically validated (HTTP status, redirects, link rot) - Change detection monitors when source content updates - Manual quarterly review by researchers - Community contributions via GitHub issues

Transparency: - Every indicator value links to its authoritative source URL - Validation reports available in data/scorecard/validation_report.csv - Full methodology documented in Design & Methodology

Quick Start Examples

API Access

# Get Kenya's scorecard
curl http://localhost:5000/api/scorecard/Kenya

# Get all African countries
curl "http://localhost:5000/api/scorecard?region=Africa"

# Get indicator statistics
curl http://localhost:5000/api/scorecard/indicators/statistics

Python Analysis

import requests
import pandas as pd

# Fetch scorecard data via API
response = requests.get("http://localhost:5000/api/scorecard?per_page=200")
countries = response.json()["data"]["items"]

# Convert to DataFrame
df = pd.DataFrame(countries)

# Find countries with LGBTQ+ criminalization AND biometric SIM requirements
at_risk = df[
    (df["LGBTQ_Legal_Status"] == "Criminalization") &
    (df["SIM_Biometric_ID_Linkage"] == "Mandatory Biometric Registration")
]
print(f"Found {len(at_risk)} countries with heightened surveillance risk for LGBTQ+ individuals")

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_by_indicator.csv (grouped by indicator)
# - data/exports/scorecard_by_region.csv (regional aggregations)

Citation

When using scorecard data in publications:

@misc{littlerainbowrights2025scorecard,
  title = {LittleRainbowRights Scorecard: Child and LGBTQ+ Digital Rights Indicators},
  author = {Vollmer, D.T. and Vollmer, S.C.},
  year = {2025},
  howpublished = {\url{https://grimdata.org/scorecard/}},
  note = {Licensed under CC BY 4.0. ORCID: 0000-0002-3359-2810 (S.C. Vollmer)},
  doi = {10.5281/zenodo.18318098}
}

Or in text:

Vollmer, D.T., & Vollmer, S.C. (2025). LittleRainbowRights Scorecard: Child and LGBTQ+ Digital Rights Indicators. Available at: https://grimdata.org/scorecard/. DOI: 10.5281/zenodo.18318098. Licensed under CC BY 4.0.

Limitations & Disclaimers

Important Considerations

Point-in-time data: Reflects information as of January 2026. Policies change frequently.

Binary categorization: Complex policies are simplified into discrete 0-1-2 categories for comparability.

Source availability: Some countries lack accessible English-language sources or transparent policy documentation.

Implementation vs. policy: Tracks official policy and law, not enforcement effectiveness or lived experience.

Regional variation: Federal systems may have significant state/provincial differences not captured at national level.

Intersectional risk: Real-world risk is determined by combinations of indicators (e.g., LGBTQ+ criminalization + biometric SIM requirements), not single indicators in isolation.

Use Responsibly

This scorecard is a research tool, not legal advice. Always:

  • Verify source URLs before citing in publications
  • Consider local context, enforcement patterns, and lived experience
  • Acknowledge limitations in research methodology sections
  • Cross-reference with other datasets and qualitative research
  • Consult local human rights organizations for on-the-ground context

Future Enhancements

Planned features (see Roadmap):

  • REST API for programmatic access ✅ COMPLETE (14 endpoints live, production-ready)
  • Interactive heatmap visualizations (Plotly.js)
  • Country comparison tool (side-by-side view)
  • 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

Contributing

Found an error or have updated information?

Report Issues: 1. Verify the source URL in scorecard_main.xlsx 2. Open GitHub Issue with: - Country name - Indicator - Current value vs. correct value - Authoritative source URL 3. Maintainer reviews and updates 4. Updated data regenerated and published

Contribute Code: - See Contributing Guide - Check open issues

Technical Documentation

For developers and researchers working with the scorecard system:

Support & Feedback

License

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

See LICENSE-DATA and LICENSE for details.