Replication data and code for an article accepted for publication in Government and Opposition. The dataset is hosted by Harvard Dataverse and was last updated on 2026-05-21. It was authored by Alper H. Yagci.
Use Cases
- Replicate quantitative text analysis based on the associated published article.
- Analyze the evolution of political language based on the described focus on opposition depiction.
- Study framing and rhetoric in authoritarian contexts based on the dataset's topic.
- Train or benchmark NLP models for political science applications based on the text data.
Strengths
- Data is directly linked to a peer-reviewed article accepted in Government and Opposition.
- Hosted on the institutional Harvard Dataverse platform.
- Last update timestamp (2026-05-21) is provided.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely collected and processed for academic research, as it is replication data for a journal article.
- Freshness
- Last updated 2026-05-21 22:05:43; freshness should be verified.