Machine-readable format

A machine-readable format is a structured way of presenting information that computer systems can automatically process and interpret. For political advertising transparency, this means data about ads must be provided in formats like CSV, JSON, or XML—not just in human-readable formats like PDFs or images—so that authorities, researchers, and civil society can efficiently analyze and verify advertising data.

Legal Basis

While Regulation 2024/900 does not explicitly define "machine-readable format," the requirement appears in the context of transparency obligations:

"Member States shall designate one or more competent authorities responsible for the supervision and enforcement of this Regulation... Those authorities shall have adequate technical and financial resources, premises and infrastructure necessary for the effective performance of their tasks."

— Article 29, Regulation 2024/900

The GDPR and data portability provisions reference machine-readable formats more explicitly:

"The data subject shall have the right to receive the personal data concerning him or her... in a structured, commonly used and machine-readable format."

— Article 20(1), Regulation 2016/679 (GDPR)

Why It Matters

Machine-readable formats are essential for effective transparency oversight in political advertising. When publishers and providers of political advertising services maintain transparency repositories and respond to information requests, delivering data in machine-readable formats enables automated analysis at scale across thousands or millions of advertisements.

For competent authorities supervising compliance with the TTPA Regulation, machine-readable data allows efficient cross-checking of transparency notices, verification of sponsor information, and detection of patterns that might indicate violations—such as undisclosed targeting or missing labels. Manual review of unstructured documents would make such oversight practically impossible during election periods when advertising volumes surge.

For researchers, journalists, and civil society organizations, machine-readable formats democratize access to political advertising data. These stakeholders can build tools to track campaign spending, analyze targeting patterns, and hold political actors accountable—but only if the data is provided in formats their software can process automatically.

Key Points

• Structured data: Information is organized in predictable fields (e.g., sponsor name, publication date, reach) rather than free-form text
• Common formats: Include CSV (comma-separated values), JSON (JavaScript Object notation), XML (extensible markup language), and standardized APIs
• Automated processing: Enables computer systems to read, analyze, and aggregate data without manual intervention
• Not PDFs or images: While humans can read PDFs and screenshots, these formats require manual review or complex OCR (optical character recognition) to extract data
• Verification at scale: Allows supervisory authorities to efficiently audit compliance across large volumes of political advertisements
• Research accessibility: Enables independent researchers and civil society to analyze political advertising patterns and spending

Machine-readable format vs. Human-readable format

Human-readable formats like PDF documents, Word files, or printed transparency notices allow people to read and understand advertising information directly. Machine-readable formats structure the same information so computers can automatically process it.

Both are often needed for TTPA compliance: transparency notices must be understandable to voters (human-readable), while data repositories and responses to authority requests should be provided in formats that enable automated verification and analysis (machine-readable). A PDF table of advertising data is human-readable but not truly machine-readable; the same data in a CSV file is both.

Related Terms

• Transparency notice
• Political advertising service
• Publisher
• Competent authority
• Ad repository
• Data portability
• Targeting techniques
• Sponsor
• Provider of political advertising services
• Verification