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BaIT: Barometer for Information Trustworthiness
[article]
2023
arXiv
pre-print
This paper presents a new approach to the FNC-1 fake news classification task which involves employing pre-trained encoder models from similar NLP tasks, namely sentence similarity and natural language inference, and two neural network architectures using this approach are proposed. Methods in data augmentation are explored as a means of tackling class imbalance in the dataset, employing common pre-existing methods and proposing a method for sample generation in the under-represented class
arXiv:2206.07535v2
fatcat:rbkhvb26bned5hpdyyov2uf2r4