Abstract
Fresh data on artificial intelligence are presented in a new report. According to news originating from Washington, Di strict of Columbia, by NewsRx correspondents, research stated, "The proliferatio n of fake news across multiple modalities has emerged as a critical challenge in the modern information landscape, necessitating advanced detection methods." Financial supporters for this research include Nsf. The news correspondents obtained a quote from the research from Howard Universit y: "This study proposes a comprehensive framework for fake news detection integr ating text, images, and videos using machine learning and deep learning techniqu es. The research employs a dual-phased methodology, first analyzing textual data using various classifiers, then developing a multimodal approach combining BERT for text analysis and a modified CNN for visual data. Experiments on the ISOT f ake news dataset and MediaEval 2016 image verification corpus demonstrate the ef fectiveness of the proposed models. For textual data, the Random Forest classifi er achieved 99% accuracy, outperforming other algorithms."
NETL
NSTL