Transitivity Analysis of Carbon Neutrality News in Chinese and U.S. Media

A comparative linguistic analysis of carbon-neutral news discourse from China Daily and The New York Times. The dataset is a 264.7 KB DOCX file authored by Ke Fu and last updated on May 6, 2026. It was published under a CC-BY-4.0 license on figshare.

Use Cases

• Compare linguistic framing of climate policy based on the described transitivity system analysis.
• Train models for media discourse classification based on the comparative ecolinguistic framework.
• Analyze cross-cultural differences in environmental reporting based on the described news sources.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Specific focus on two major media outlets, China Daily and The New York Times.
• Last update timestamp is precisely recorded as 2026-05-06 08:11:17.

Limitations

• Row count and column structure are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale at 264.7 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Comparative analysis of news discourse, likely involving manual or computational text analysis.

Time Range

null

Freshness

Last updated 2026-05 06 08:11:17.

Geography

Analysis covers media from China and the United States.