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: Avui fa un any, quin honor! Deien que no hi serien, que no ho aconseguiríem, que no votaríem. Però les urnes hi van ser i junts vam protagonitzar l'exercici de dignitat democràtica més gran de la nostra història. Les urnes mai són un problema, són la solució. https://t.co/SYH9VYUqag
Answer:
Against