Analysis of whether news on the Internet is real or fake by using deep learning methods and the TF-IDF algorithm

Internet use has become increasingly widespread nowadays. In addition, there is a significant increase in the amount of text content produced digital media. However, accuracy and inaccuracy news we read large number are also unknown. this study, classification analysis whether real or not were done by using Deep Learning methods. For English news, data set created Katharine Jarmul was used. The contained total 6336 items. distribution set, which consisted political 50% fake real. method used Term Frequency - Inverse Document (TF-IDF). made with 93.88% success 6.12% error obtained as result analysis.