Social Media Frame Stance: Top-20 Reposted Posts Over 10 Months

200 social media posts, sampled as the Top-20 most reposted posts each month over a 10-month period. The dataset, created by Tomasz Piróg, provides conversion and stance labels for generic and issue-specific frames related to migration discourse. It was last updated on 2026-05-05.

Use Cases

• Analyze stance (e.g., pro, anti, neutral) based on labeled frame categories.
• Study the prevalence of generic frames like Conflict or Morality in migration discourse.
• Investigate the relationship between issue-specific frames like 'Helping Ukrainians' and user engagement.
• Train or evaluate models for frame detection and stance classification in social media text.

Strengths

• Dataset is focused on a specific topic with 200 annotated posts.
• Explicitly defines 5 generic and 5 issue-specific frames for analysis.
• Data is licensed under CC-BY-4.0, allowing for open sharing and adaptation.

Limitations

• The dataset is very small at 5.5 KB, limiting statistical power for many analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Tomasz Piróg.

Collection Method

Based on a sample of the Top-20 most reposted posts for each month over a 10-month period.

Time Range

Covers a 10-month period (specific dates not provided).

Freshness

Last updated 2026-05-05 17:30:23; freshness should be verified.