Multi-domain Urdu fake news detection using pre-trained ensemble model.

ABSTRACT: Fake News (FN) dissemination on websites and online platforms influences human behaviours, socio-political domains, and the sovereignty of a country. The outpour of biased news and propaganda on online portals can be addressed by restricting online propaganda using an automated mechanism. Proving the authenticity of news and information on online platforms in regional languages, such as Urdu, with limited resources and datasets, is challenging. Furthermore, limited research in resource-constrained languages has created language bias in Artificial Intelligence (AI) research, which is concentrated in this study. Natural Language Processing (NLP) techniques have been used for Fake News Detection (FND) for English news and various language-related tasks. Previous studies used Machine Learning

SUBMITTER: Harris S 

PROVIDER: S-EPMC11906872 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature