Supervised ensemble learning methods towards automatically filtering Urdu fake news within social media.

ABSTRACT: The popularity of the internet, smartphones, and social networks has contributed to the proliferation of misleading information like fake news and fake reviews on news blogs, online newspapers, and e-commerce applications. Fake news has a worldwide impact and potential to change political scenarios, deceive people into increasing product sales, defaming politicians or celebrities, and misguiding visitors to stop visiting a place or country. Therefore, it is vital to find automatic methods to detect fake news online. In several past studies, the focus was the English language, but the resource-poor languages have been completely ignored because of the scarcity of labeled corpus. In this study, we investigate this issue in the Urdu language. Our contribution is threefold. First, we design an

SUBMITTER: Akhter MP 

PROVIDER: S-EPMC7959660 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature