Vol. 8, Issue 3 (2019)

Author(s):
Dr. Vimal Kumar

Abstract:
Individuals who use the internet can use social networking platforms to distribute fabricated information, which may contain propaganda that targets an individual, group, organization, or political faction. Automated detection of such misinformation can be accomplished using machine learning classifiers. The detection of fabricated news involves identifying inaccurate information that is presented as legitimate news. The prevalence of fraudulent news on the internet and social media platforms has created significant difficulties. Machine learning and natural language processing are some of the approaches employed to create automated systems that can recognize false news. These systems are trained on datasets and can classify news as genuine or fabricated. Despite their usefulness, the development of fake news detection systems can be hindered by issues like the inadequacy of labeled data for training the detection models.