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'.

Let me give you an 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!!
The answer to this example can be: Favor
Here is 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'.

OK. solve this:
Tweet: Vaig per #Sarria amb el meu fill d'11 anys. Porto un llac groc. El Sr @oramirezlara, Conseller Municipal d @PP_Sarria mira al meu fill rient-se de nosaltres i li diu "Viva Espana". El miro i li dic, "Que li ha dit"? Em respon, "Jo? Res?" Aquest es el nivell dels nostres politics
Answer:
Favor