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Machine Learning Unveils New Insights into European Union Power Delegation

Delegation of powers in politics involves politicians granting authority to agents through enabling statutes' conditions.

➡️ Beyond Laborious Content Analysis

  • The study introduces a machine learning approach for analyzing EU legislation on power delegation.
  • This method efficiently identifies discretionary measures across all EU directives and regulations from 1958-2017.

➡️ Method Validation

  • Researchers trained the classifier using just 10% of hand-coded provisions as a reference point.
  • The approach successfully replicates original findings, demonstrating accuracy in large-scale legislative analysis.

➡️ The Broader Applicability

  • While focused on power delegation, this technique offers value for any field previously dependent on intensive human coding.
American Political Science Review
Understanding Delegation Through Machine Learning: A Method and Application to the European Union was authored by Lefteris Jason Anastasopoulos and Anthony M. Bertelli. It was published in APSR in 2020. Find on Google Scholar10.1017/S0003055419000522
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