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 votaré.  Hi ha quelcom que no em permet no fer-ho. Ara bé tinc un greu problema.  No sé 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: Aficionats del @Lleida_Esportiu que us queixeu d'aquest tuit del club dient que  no s'ha de barrejar esport i política . Heu pensat en la bajanada que esteu dient, i en quin lloc us situa aquest error? Va fil per explicar-ho 👇🏽: https://t.co/wD0HJ7AM9n
Solution:
Favor