Published Paper Details:

The cyberspace news consumption is increasing day by day all over the world. The main reason for cyber space news consumption is due to its low cost, easy access and easy sharing facility which lead people to consume news rapidly without the knowing whether the news is fake or true. Thus, the wide spread of fake news which have the serious negative impacts on society. Therefore, false news prediction on cyberspace is attracting a tremendous attention. This model works on processing the text and images together by providing an interactive Application Interface (API), i.e., text by applying the model Logistic regression classifier and image by applying self-consistency algorithm. The natural language tool kit (NLTK) model is used for these implementations through python. Once the news is predicted fake, a report is redirected to the authorized website (cybercrime department) to take the immediate necessary actions required to stop this news from spreading.