Networked Framing Dynamics in Chinese Social Media Discussions of a Major Wildfire

A study of elite-crowd interaction dynamics in online framing during a major wildfire in China. The dataset combines network and frame analysis with qualitative interviews to examine how state/media and market-oriented media interact with crowds under restrictive information environments. Authored by Hao Cao and last updated on 2026-06-03.

Use Cases

• Compare elite-driven crowdsourcing versus elite-public collaboration models based on the described professional visions of 'truth' and 'public interests'.
• Analyze networked framing processes based on the described combination of network and frame analysis.
• Study crowd-elite interaction patterns in online discussions under restrictive information environments as described in the study.
• Examine the role of market-oriented local digital media in incorporating crowd-publics based on the 'public interests' ideal mentioned.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The study design combines multiple methods: network analysis, frame analysis, and qualitative interviews.

Limitations

• The dataset size is only 70.7 KB, indicating a very limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data may reflect geographic and temporal bias inherent to the specific case study of a Chinese wildfire.

Provenance

Source

Hao Cao via figshare.

Collection Method

Combined network analysis, frame analysis, and qualitative interviews of online discussions.

Freshness

Last updated 2026-06-03 18:10:13.

Geography

China, focusing on discussions of a major wildfire.