A codebook with 7 main themes and 33 sub-theme codes for analyzing textual content. The data was created by Canan Cetin and last updated on figshare in April 2026. The dominant theme for each article was determined by the highest frequency of applied sub-theme codes.
Use Cases
- Classify articles by dominant theme based on the described frequency-based method.
- Analyze the co-occurrence of sub-themes like 'Activist Agency' and 'Individualisation' within articles.
- Train models for automated content coding using the 33 sub-theme labels.
- Study representation politics and agency in media through the coded thematic framework.
Strengths
- Codebook structure is explicitly defined with 7 main themes and 33 sub-theme codes.
- Coding methodology for determining the dominant theme per article is clearly specified.
- Released under a permissive CC-BY-4.0 license.
Limitations
- Row count and file format are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The description focuses on the coding scheme; the underlying article data's source and scale are unspecified.
Provenance
- Source
- Canan Cetin
- Collection Method
- Likely involves manual or computational content analysis using the described thematic codebook.
- Freshness
- Last updated 2026-04-11 11:06:39; freshness should be verified.