Turn regulatory transparency data into comparable intelligence.

Civility Bureau structures, normalizes and analyses public platform disclosures, including DSA Statements of Reasons, so platforms, auditors and regulators can see patterns that are difficult to detect in raw reporting data.

REGULATORY TRANSPARENCY INTELLIGENCETRACEABLE

01

DSA DISCLOSURE ALIGNMENT

Do public outputs reflect the stated risk picture?

RISK ASSESSMENTTRANSPARENCY REPORTSTATEMENTS OF REASONS

ALIGNMENT ANALYSISCross-reference. Compare. Challenge.

Stated Systemic RisksReported MitigationsObserved SoR Patterns

See where public narratives and measurable outputs align, diverge or warrant further review.

02

CROSS-REGULATORY BRIDGE

Extend comparable signals beyond one framework.

PUBLIC DSA OUTPUTS

COMPARABLE FIELDS

BOSEFramework context

OSAFramework context

BRIDGE WHERE POSSIBLE

Cross-reference DSA-derived signals with other regulatory frameworks where the underlying disclosures and concepts are genuinely comparable.

What Civility Bureau Is

Civility Bureau is a transparency-intelligence and analytics company. We transform public platform disclosures into structured, normalized and comparable analytics, using DSA Statements of Reasons as a primary data source and cross-referencing other regulatory frameworks, including OSA and BOSE, where the underlying information is comparable.

Our work helps platforms understand their external reporting footprint, helps auditors target assurance work, and helps regulators identify cross-platform patterns and supervisory signals.

Why It Matters

The Digital Services Act has created a large public record of platform moderation decisions, but the raw disclosures are difficult to compare at scale.

Civility Bureau builds the analytical layer between disclosure and decision-making, making public transparency data easier to interrogate and the right questions easier to ask.

Cross-Platform Normalization

Timing And Automation Analysis

Traceable Analytical Signals

Population-Scale Benchmarking

The SOR Intelligence Engine

Normalize platform-specific reporting into a common taxonomy and analyse timing, automation, proactivity, category distribution, repeated templates and other measurable characteristics across large SoR populations.

Built For Traceability

Retain the original public DSA fields while applying reproducible analytical logic. Flagged patterns can be traced back to source records, with a clear boundary between an analytical signal and a compliance conclusion.

Intelligence For Every Oversight Perspective

A consistent analytical layer for public DSA disclosures, shaped around the questions platforms, auditors and regulators need to answer.

Platforms

See what your public DSA reporting reveals and how it compares.

Understand your external reporting footprint
Benchmark measurable patterns against relevant peers
Identify areas that may merit internal validation

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Auditors

Use full-population public DSA data to improve audit scoping and data selection.

Surface higher-signal categories and templates
Give anomalies cross-platform and historical context
Support, without replacing, professional judgement

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Regulators

Explore cross-platform DSA signals through a normalized supervisory intelligence layer.

Identify outliers, sudden shifts and concentrations
Compare timing, proactivity and automation
Prioritize questions while keeping signals distinct from enforcement evidence

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Normalization

Map platform-specific grounds and policy descriptions into a common taxonomy while retaining the original DSA fields for traceability.

Timing And Automation

Analyse public timestamps, automated-detection fields and automated-decision disclosures without implying that the source data contains information it does not.

Template & Benchmarks

Quantify repeated explanations and compare normalized distributions across services, categories and periods on a consistent basis.