From 2001 to early 2025, this dataset contains a corpus of speeches, press releases, and official statements from congressional and executive actors on trade policy. It was created by Mehmet Yavuz for PS: Political Science & Politics and uses a Large Language Model to analyze the prevalence of national security framing in trade discourse.
Use Cases
- Analyze partisan differences in security narrative usage based on mentions of congressional and executive actors.
- Study the strategic use of national security framing in trade policy discourse based on the corpus of speeches and statements.
- Train or benchmark LLMs for political text classification based on the described corpus of official documents.
- Investigate temporal trends in security-related trade rhetoric based on the 2001-2025 time range.
Strengths
- Time range spans over two decades, from 2001 to early 2025.
- Analysis is based on a large corpus of speeches, press releases, and official statements.
- Methodology employs a Large Language Model for systematic text analysis.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect temporal bias inherent to the 2001-2025 period.
Provenance
- Source
- Mehmet Yavuz, PS: Political Science & Politics
- Collection Method
- Systematic analysis of trade-related discourse using a Large Language Model.
- Time Range
- 2001 to early 2025
- Freshness
- Last updated 2026-04-09 03:58:22; freshness should be verified.