Mapping Compliance: A Taxonomy for Political Content Analysis under the EU's Digital Electoral Framework
Marie-Therese Sekwenz, Rita Gsenger
TL;DR
This paper develops a detailed taxonomy and codebook for analyzing political content on digital platforms in the EU, aiding compliance assessment with new electoral regulations like the Digital Services Act.
Contribution
It introduces a novel legal-based methodology and comprehensive taxonomy for systematic analysis of political content compliance in the EU's digital electoral framework.
Findings
Created a detailed codebook for content analysis
Aligned taxonomy with EU regulatory requirements
Facilitated systematic compliance assessment
Abstract
The rise of digital platforms has transformed political campaigning, introducing complex regulatory challenges. This paper presents a comprehensive taxonomy for analyzing political content in the EU's digital electoral landscape, aligning with the requirements set forth in new regulations, such as the Digital Services Act. Using a legal doctrinal methodology, we construct a detailed codebook that enables systematic content analysis across user-generated and political ad content to assess compliance with regulatory mandates.
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Taxonomy
TopicsHate Speech and Cyberbullying Detection · Social Media and Politics · Privacy, Security, and Data Protection