In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it will be labeled as 'Favor' also if the tweets state information or news rather than stating opinion then it will be characterized as 'Neutral'.
One example is below.
Q: Tweet: Vull votar i votare. Hi ha quelcom que no em permet no fer-ho. Ara be tinc un greu problema. No se a qui!!
A: Favor
Rationale: The tweet asks for the right to vote for the independence of Catalonia and it supports the movement so it will be characterized as 'Favor'.
Q: Tweet: @jorditurull @tornergran Si. Pots fer servir el teu dret de respondre a les preguntes dels advocats i fiscals de la sala per argumentar la teva inocencia, per fer un mitin com cal. Total els anys de comdemna, si et sentencien com culpable, son teus . Nomes teus
A:
Against