Stance

stance detection, polarisation, for/against

2 datasets tagged as the topic “Stance”.

2 datasets.

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Italian Constitutional Referendum Twitter Signed Network (NDS-VU) Analyzed

A NDS-VU signed network repository dataset of 10,885 users and 251,406 signed interaction edges from Italian referendum Twitter, collected by NDS-VU (Vrije Universiteit Amsterdam, 2016). Each record contains directed signed edges between nodes: sign (+1 or -1) representing positive/negative relationships; no edge weights beyond binary sign. Signed retweet/mention network from the 2016 Italian constitutional referendum on Twitter, where edges represent support (+1) or opposition (-1) interactions between users discussing the referendum. Suitable for political polarization, signed social network analysis, referendum discourse.

10.9K records10.9K nodes251.4K edges2021

Brexit Opinion Dynamics (r/Brexit) Analyzed

A Reddit dataset of 5,024 annotated comments, 809,713 total comments, collected by Behavioral Data Science Lab. Each record contains comment text, stance labels, interaction graphs, polarity scores. r/Brexit subreddit with crowd-annotated stance labels and temporal interaction graphs. Suitable for political polarization, opinion dynamics, stance detection.

5K records7K nodes45.8K edges2026