Awesome

FakeNewsSetGen

A process that builds Fake News datasets that contain news propagation data and support comparison amid the state-of-the-art MLFN

Overview:

FakeNewsSetGen contains 4 stages, grouped in two folders: FirstAndSecondStage and ThirdAndFourthStage, according to the functional macro model that can be consulted in the file: FakeNewsSetGen.png.

Installation requirements:

Data download scripts are writtern in python and requires python 3.6 + to run.

Install all the libraries in requirements.txt using the following command

pip install -r requirements.txt

Instructions:

More details about each stage can be obtained through the readme file in respective stage folder.