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: 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!!
Solution is here: Favor
Explanation: 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'.

Now, solve this: Tweet: Molta filigrana per amagar q bona part dels politics (i no politics) espanyols han falsejat l'expedient academic. Aquesta minucia pot provocar q els titols universitaris N acabin tenint el mateix valor que el paper higienic usat, i, com sempre, pagaran justos per pecadors. https://t.co/M9EhwGMCqW
Solution:
Favor