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'.
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!!
Example solution: Favor
Example 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'.

Problem: Tweet: @Nex72599860 Rajoy? Qui es va Cepillar l'Estatut era el partit que va governar fins a finals del 2011, el PSOE de ZP. I a part del PP, el defensor del pueblo (posat a dit pel govern) tambe era una de les parts que va portar l'Estatut al TC. No es per treure-li merits a en Mariano!
Solution: Favor