You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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'.

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: Favor
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'.

New input: Tweet: El q es sorprenent es q un membre del CAC faci politica partidista de forma tan barroera. Per cert, penses cobrar del CAC fins q Valls et faci regidora? Millor dimitir i dir el q et doni la gana,no? I d'Units et penses passar a Lliures o ja vas directa a C's? Curiositats oye... https://t.co/o9O7jqj9c4
Solution:
Against