Fake News Detection by Learning Convolution Filters through Contextualized Attention

Fake News Detection on Liar dataset

fake new detection for liar and kaggle dataset using logistic regression, svm, cnn, lstm and bi-lstm

Fake News Detection by Learning Convolution Filters through Contextualized Attention

We propose a novel method of fine-tuning the model for a particular downstream task, which proves to be more efficient and generalizable. We show that in an example of a fake news detection task, utilizing three distinct datasets and outperforming the baseline model in both the same dataset and cross-dataset zero-shot test.

A comparative study for fake news detection using deep learning techniques.

Fake news detection