Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: COVID-19 Fake News Detection Using Bidirectional Encoder Representations
  from Transformers Based Models   Nowadays, the development of social media allows people to access the latest
news easily. During the COVID-19 pandemic, it is important for people to access
the news so that they can take corresponding protective measures. However, the
fake news is flooding and is a serious issue especially under the global
pandemic. The misleading fake news can cause significant loss in terms of the
individuals and the society. COVID-19 fake news detection has become a novel
and important task in the NLP field. However, fake news always contain the
correct portion and the incorrect portion. This fact increases the difficulty
of the classification task. In this paper, we fine tune the pre-trained
Bidirectional Encoder Representations from Transformers (BERT) model as our
base model. We add BiLSTM layers and CNN layers on the top of the finetuned
BERT model with frozen parameters or not frozen parameters methods
respectively. The model performance evaluation results showcase that our best
model (BERT finetuned model with frozen parameters plus BiLSTM layers) achieves
state-of-the-art results towards COVID-19 fake news detection task. We also
explore keywords evaluation methods using our best model and evaluate the model
performance after removing keywords.

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The categories of this paper are: hep-ph
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas