In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

[Q]: Because of this, we do not claim that this dataset can be considered a ground truth. 
 Question: How is the ground truth for fake news established?
[A]: Ground truth is not established in the paper


[Q]: The dataset consists of more than $0.3$ million records and has been made available for future research. 
 Question: What is the size of the dataset?
[A]: $0.3$ million records


[Q]: The performance on discriminating between offensive (OFF) and non-offensive (NOT) posts is reported in Table TABREF18 . We can see that all systems perform significantly better than chance, with the neural models being substantially better than the SVM. The CNN outperforms the RNN model, achieving a macro-F1 score of 0.80. The CNN system achieved higher performance in this experiment compared to the BiLSTM, with a macro-F1 score of 0.69. All systems performed better at identifying target and threats (TIN) than untargeted offenses (UNT). 
 Question: What is the best performing model?
[A]:
CNN