Stance detection using improved whale optimization algorithm

Abstract News is a medium that notifies people about the events had happened worldwide. The menace of fake news on online platforms rise which may lead to unwanted events. majority spread through social media platforms, since these have great reach. To identify credibility news, various spam detection methods are generally used. In this work, new stance method has been proposed for identifying news. based capabilities an improved whale optimization algorithm and multilayer perceptron. model, weights biases perceptron updated using algorithm. efficacy optimized neural network tested five benchmark datasets. model shows better results over all considered approach theoretical implications further studies examine textual data. Besides, also practical developing systems can result conclusive reviews any problems.