Stance Distribution on Migration Across Political User Groups, 10-Month Sample

A dataset by Tomasz Piróg, last updated on 2026-05-05, analyzes discourse on migration. It contains the distribution of stance categories (in favor, against, neutral) across four defined political and media user groups. The data is based on a sample of the top 20 most reposted posts each month over a 10-month period, totaling 200 posts.

Use Cases

• Compare stance proportions across political groups based on the defined user categories (G1-G4).
• Analyze temporal trends in migration discourse based on the monthly sampling over 10 months.
• Train classifiers to predict user group affiliation based on stance patterns mentioned in the description.
• Study the relationship between post virality (reposts) and expressed stance on a polarizing topic.

Strengths

• Sample size of 200 posts is explicitly defined.
• Clear definition of three stance categories (F, A, N) and four user groups (G1-G4).
• Data collection method is specified: top 20 most reposted posts per month over 10 months.

Limitations

• Row count and specific column definitions are unknown, limiting detailed assessment.
• The dataset is very small at 5.5 KB, indicating limited scope.
• Geographic or platform origin of the social media data is not specified, which may affect generalizability.

Provenance

Source

Tomasz Piróg via figshare

Collection Method

Sampled from the top 20 most reposted posts each month over a 10-month period.

Time Range

Covers a 10-month period (specific dates unknown).

Freshness

Last updated 2026-05-05 17:30:26; freshness should be verified.