Study on Web Content Fact Checking with Machine Learning and Deep Learning Techniques

Over the last decade, people have been widely using online platforms for sharing information and for understanding the news that has been happening around them. Classification of social media texts, tweets etc., are one of the emerging areas of research in today's world, especially when it comes to information about political and entertainment sectors. However, there are certain challenges due to the fact that most commonly used Machine Learning techniques have not proven to be optimal, when considering both textual and image data for fake content detection. We investigate the use of Gated Recurrent Unit (GRU) with Long Short-Term Memory (LSTM) Ensemble for classifying news as real or fake.