Pro-War and Anti-War Tag Combinations from X and Wikipedia

Data from 2022-2023 contrasts discussion dynamics on X and Wikipedia regarding the Russian invasion of Ukraine. It contains categorized tag combinations and user stances (Pro-war, Against-war) derived from NLP analysis of X posts and Wikipedia contributions. The dataset was created by Andrea Russo and last updated in April 2026.

Use Cases

• Analyze the correlation between specific tag combinations and the assigned stance (Pro-war, Against-war) to identify common rhetorical patterns.
• Compare the distribution and frequency of tag combinations from X data against those extracted from Wikipedia comments to contrast platform dynamics.
• Train a classifier to predict user stance based on the co-occurrence of hashtags or topic tags present in the data.
• Study the evolution of dominant tag combinations over time within the collected X data using the #UkraineRussiaWar hashtag.

Strengths

• Data is explicitly labeled with user stance (Pro-war, Against-war) for analysis.
• Derived from two distinct platforms (X and Wikipedia) enabling comparative study.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope and likely a small sample size.
• Rows and specific column counts are unknown, making it difficult to assess volume and feature richness.
• Temporal coverage within the 2022-2023 period is not precisely defined.

Provenance

Source

X (via #UkraineRussiaWar hashtag) and Wikipedia comment/contribution pages.

Collection Method

X data collected via hashtag and processed with NLP for topic categorization and stance labeling; Wikipedia data gathered from author comments and contributions.

Time Range

2022-2023 (period of the Russian invasion of Ukraine).

Freshness

Last updated in April 2026, but the underlying data covers events from 2022-2023.

Geography

Global online discourse, focused on the Ukraine-Russia war.