Fake News Detection

Abstract

Fake news is inaccurate information that is intentionally disseminated for a specific purpose. If allowed to spread, fake news can harm the political and social spheres, so several studies are conducted to detect fake news. This research considers previous and current methods for fake news detection in textual formats while detailing how fake news exists in the first place. Detecting fake news on social media becomes a challenging problem which turns out to be very difficult to manually analyze because more and more online news is increasing on social network. Although a lot of fake news detection researches have shown some significant results and improvements by using different classification algorithms and feature extraction methods, it still has some gaps to meet the important necessities in classifying news. To address this problem, this paper investigates a fake news detection model using machine learning.