Urdu News

Research on Urdu news currently focuses heavily on automated fake news detection, driven by the lack of readily available resources and the significant societal impact of misinformation in this language. This involves developing and benchmarking machine learning models, primarily employing transformer-based architectures like BERT and its variants, to classify news articles as real or fake. These efforts are crucial for improving information credibility and are contributing to broader advancements in low-resource language processing within the NLP community. Additionally, research is exploring improved news recommendation systems using NLP techniques like TF-IDF and BERT to enhance user experience and information access.