Hanoi Motorcycle Ban Media Analysis and Public Comments

158 online news articles and 7,649 public comments analyze communication around Hanoi's 2026 fossil fuel motorcycle ban. The dataset supports a mixed-methods study integrating Framing Theory and Critical Discourse Analysis. Researcher Triều Trần published the data in April 2026.

Use Cases

• Classify news article frames (e.g., 'Environmental & Health Imperative') using text content.
• Analyze sentiment and themes in public comments, such as 'Economic Burden' or infrastructural concerns.
• Measure discursive gaps between press and public by comparing article and comment datasets.
• Identify keywords and argument structures in policy debates using Critical Discourse Analysis techniques.

Strengths

• Contains 7,649 public comments for analyzing bottom-up discourse.
• Includes 158 news articles for systematic media framing analysis.
• Data is structured for mixed-methods research (quantitative and qualitative).

Limitations

• Small dataset at 5.3 MB, limiting large-scale NLP model training.
• Focus is solely on Hanoi, Vietnam, limiting geographic generalizability.
• Row counts for individual data components (articles vs. comments) are unspecified.

Provenance

Source

figshare, authored by Triều Trần.

Collection Method

Explanatory sequential mixed-methods design collecting online news articles and public comments.

Time Range

Covers the period of debate around the 2026 motorcycle ban policy announcement.

Freshness

Data last updated April 2026, reflecting recent policy debate.

Geography

Hanoi, Vietnam.