Fake news detection is a task to classify between fake news and real news using textual as well as visual content. Dataset used are kaggle fake news dataset, Twitter Mediaeval 2015 and Mediaeval 2016 tweets for textual content and Weibo dataset for visual content ranging from fake and real news. Comparative results of deep learning techniques used are demonstrated.