European fact-checking organizations' error correction practices, supporting a study of accountability and compliance. The dataset includes correction frequencies, normalized correction rates, and coded variables on EFCSN Article 3.3 compliance. It was authored by Mato Brautovic and hosted on Harvard Dataverse, last updated on 2026-05-28.
Use Cases
- Analyze correction frequency patterns among European fact-checking organizations based on the described correction rates.
- Study compliance with the EFCSN Article 3.3 accountability framework based on the coded policy variables.
- Benchmark organizational transparency and error correction norms within the European fact-checking ecosystem.
Strengths
- Focuses on a specific and relevant topic: error correction practices among European fact-checking organizations.
- Includes coded variables for accountability and compliance with a specific standard (EFCSN Article 3.3).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely collected from or about members of the European Fact-Checking Standards Network (EFCSN).
- Freshness
- Last updated 2026-05-28 12:45:22; freshness should be verified.
- Geography
- Europe