<p>Summary table of the correspondence analysis.</p>

A 5.5 KB Excel file summarizing correspondence analysis results from a decade of data from the Chinese social media platform Zhihu. Authored by Kaijiao Zhang and last updated in May 2026, this dataset captures the structural characteristics and phased evolution of social representations of climate change in Chinese public discussion.

Use Cases

• Analyze the structural configuration of climate change discourse based on social network and correspondence analysis results.
• Track the evolution of peripheral themes in public discussion based on the described shift from scientific consensus to risk governance and economic pathways.
• Study the dialogical and polyphasic nature of knowledge in climate discourse based on the interaction between policy contexts and public communication.

Strengths

• Data spans a decade of social media posts from the Zhihu platform.
• Analysis employs both social network analysis and correspondence analysis, suggesting a multi-method approach.
• License is CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• The dataset is very small (5.5 KB), indicating limited scope or summary-level data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaijiao Zhang via figshare.

Collection Method

Likely derived from social network analysis and correspondence analysis performed on Zhihu data.

Time Range

A decade of data (specific start year unknown).

Freshness

Last updated 2026-05-14 17:39:20; freshness should be verified.

Geography

Focus on discourse from the Chinese social media platform Zhihu.