New Politifact: A Dataset for Counterfeit News

Fake news is a fictitious article that is intentionally written to deceive people. So it is difficult to detect fake news based on the content of the news article. Online platforms publish these fabricated stories to make more money by enhancing the number of readerships. There is a need to detect fake news as early as possible. The lack of a standard dataset makes this task more challenging. So, In this paper, we proposed a new dataset that is scraped from Politifact websites. This dataset is larger in size in comparison to the existing datasets. We conducted extensive experiments by training state of the art machine learning and deep-learning algorithm. The results depict the effectiveness of our proposed dataset.

I. Introduction

Today is a digital era where we spent most of the time on the internet. Social media platforms help to communicate one's thoughts to the rest of the world. This online platform is easily accessible by people who do not have any technical knowledge. People can easily share photos and videos with their friends and relatives. However, since there is a path to grow, there can also be something that can put barriers in it.