Oversight

Truth Engine for Democracy

Washington DC Capitol

Democracy Index

78.50/100

Based on transparency metrics

About Us

Truth Score Engine

Advanced political information verification system

77
Truth Score
87%
Confidence Level
v2.1.3
Algorithm Version
10/15/2025
Last Updated

Algorithm Methodology

Advanced multi-factor analysis combining transparency metrics, integrity verification, bias detection algorithms, and accountability tracking to generate a comprehensive truth score for political information.

Factor Weights

  • Lobbying Transparency Index (25%)
  • Legislative Integrity Score (22%)
  • Media Bias Detection Algorithm (18%)
  • Political Accountability Index (20%)
  • Data Accuracy Verification (15%)

Validation Methods

  • Cross-validation with independent fact-checking organizations
  • Academic peer review of methodology
  • Government transparency standards compliance
  • Regular calibration against verified truth benchmarks

Truth Score Factors

Lobbying Transparency Index

Transparency

Measures the completeness and accuracy of lobbying disclosure data, including financial transparency and conflict of interest reporting.

Weight: 25%Methodology: Analyzes lobbying expenditure reports, disclosure timeliness, and completeness of client information against federal reporting requirements.Updated: 10/15/2025
78
Score

Legislative Integrity Score

Integrity

Evaluates the authenticity and completeness of bill information, including sponsor transparency and amendment tracking.

Weight: 22%Methodology: Cross-references bill data across multiple sources, validates sponsor information, and tracks amendment authenticity.Updated: 10/14/2025
82
Score

Media Bias Detection Algorithm

Bias Detection

Advanced NLP analysis of political discourse to detect partisan bias, misleading statements, and factual accuracy.

Weight: 18%Methodology: Machine learning models trained on verified political statements, fact-checking databases, and neutral reporting standards.Updated: 10/13/2025
71
Score

Political Accountability Index

Accountability

Tracks voting record consistency, campaign promise fulfillment, and constituent engagement metrics.

Weight: 20%Methodology: Compares voting patterns against campaign promises, measures constituent communication responsiveness, and tracks conflict of interest disclosures.Updated: 10/12/2025
69
Score

Data Accuracy Verification

Accuracy

Real-time verification of political data against authoritative sources and detection of inconsistencies.

Weight: 15%Methodology: Automated cross-referencing of data points, anomaly detection algorithms, and human verification sampling.Updated: 10/15/2025
86
Score

AI-Generated Insights

Lobbying Disclosure Lag Detected

high impact
92% confidence

Recent analysis shows a 15% increase in delayed lobbying disclosures, particularly in the technology sector. This impacts transparency scoring.

Bill Amendment Tracking Improved

medium impact
88% confidence

New API integration with Congress.gov has increased amendment tracking accuracy by 12%, boosting legislative integrity scores.

Bias Detection Algorithm Enhanced

medium impact
85% confidence

Updated NLP models show 8% improvement in detecting subtle partisan language and emotional manipulation in political discourse.

Accountability Metrics Decline

high impact
79% confidence

Overall accountability scores have decreased 3% this quarter, primarily due to reduced constituent engagement responsiveness.

Technical Specifications

Processing Engine

  • • Real-time data validation
  • • Machine learning bias detection
  • • Cross-source verification
  • • Anomaly detection algorithms

Data Sources

  • • 47 government APIs
  • • 12 fact-checking databases
  • • 8 news archives
  • • 15 academic sources

Update Frequency

  • • Real-time: Lobbying data
  • • Hourly: Bill status
  • • Daily: Media analysis
  • • Weekly: Accountability metrics