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 is below.
Q: 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!!
A: Favor
Rationale: 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'.
Q: Tweet: 🔊 Gir inesperat: Després de les acusacions de passivitat als Mossos, el primer comandament de la policia catalana a testificar trasllada la responsabilitat al Govern. L'anàlisi de Judit Perpinyà. #JudiciTV3CatRàdio   https://t.co/K7mSI1P6Xh https://t.co/eU01KKOX6y
A:

Show your work and conclude with the exact phrasing "Therefore, the final answer is [answer]." where [answer] is just the final number or expression that solves the problem.
user
Neutral