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'.

Let me give you an example: Tweet: Vull votar i votaré.  Hi ha quelcom que no em permet no fer-ho. Ara bé tinc un greu problema.  No sé a qui!!
The answer to this example can be: Favor
Here is why: 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'.

OK. solve this:
Tweet: Camí de Soto del Real a veure els presos, hostages d'un Estat...  demòcrata , segons tu @JoanTarda per tant no és cap escarment perquè significaria que serien presos per motius polítics, cosa que no fan els estats demòcrates.. https://t.co/0AP2nDbHwD
Answer:
Favor