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: Cal no oblidar que el conseller d'Interior, Miquel Buch, va ser un peo de Carles Puigdemont per fer fora Marta Pascal de la direccio del PDECat i que el director general dels Mossos, Andreu Martinez, es el brac executor de Brauli Duart, home de la maxima confianca de Jordi Pujol.
Solution:
Against