Code and data for analyzing strategic narratives concerning China-Russia relations within the global media ecosystem. The dataset was created by Shi, Shengjie and is hosted on Harvard Dataverse. It covers a time range from 2014 to 2024.
Use Cases
- Analyze media framing of China-Russia relations based on the described strategic narratives.
- Track the evolution of geopolitical discourse over time based on the 2014-2024 coverage.
- Compare narrative patterns across different outlets within the global media ecosystem mentioned in the description.
- Train NLP models for geopolitical sentiment or narrative classification based on the media text data.
Strengths
- Covers a defined 10-year period from 2014 to 2024.
- Focuses on a specific, high-profile geopolitical relationship (China-Russia).
- Analyzes narratives within a global media ecosystem, suggesting a multi-source perspective.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse
- Time Range
- 2014-2024
- Freshness
- Last updated 2026-06-09 16:14:10; freshness should be verified.