4.PROPOSED DETECTION PROCESS
1. Collect a dataset: The data set being used is downloaded from Kaggle. It contains the following headers: Id Title Text date Gather a dataset of news stories that have been classified as authentic or fraudulent. This dataset has to be broad and inclusive of a range of literary genres, sources,and themes. For this project I used 3 CSVs or two datasets. The first dataset has a two separate files for fake and real news. The second dataset is scraped data from a fact checking website. After loading the dataset, it was processed to balance, clean, and make it easier to use. 2. Pre-process the data: After the data is set, the text needs to be preprocessed to be readable by the program. Take out stop word...