Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations
Table 3: Distribution of labels across different events.
['[EMPTY]', 'General Terms', 'Iran Deal', 'Santa Fe Shooting', 'Student Marches']
As expected we observe that the labeled dataset is skewed towards denials as, when combining implicit and explicit types, they constitute the majority label for all events. Interestingly, when applied to a specific event, the ”comment” category fall behind the two explicit non-neutral labels. This suggest that for contentious events, the proposed collection methodology is effective at recovering contentious conversations and more non-neutral threads.