Team Name: Fake News Busters
Team Members: Dalton Gilmore – email@example.com, Yahia Mohamed – firstname.lastname@example.org, Jongkook Son – email@example.com, Caleb Van Tassel – firstname.lastname@example.org
Project Description: In our project, we test the idea that falsified information has characteristics that indicate its validity. We take a dataset that contains both real and fake news and analyze it using various machine learning techniques for data analysis in order to discern what characteristics are unique to each type of article. After gathering enough information through data analysis, we use the dataset to train neural network models in order to evaluate our classification accuracy so that we may find out the extent to which networks and machines can detect false and unreliable information for us.
University: University of Missouri – Kansas City
Course: Knowledge Discovery Management
Source Code: https://colab.research.google.com/drive/1O8jNmqYaa1eNawNPkKHrWCau6hLQa62r?usp=sharing#scrollTo=ZnWShlz2C5wg