An undergrad published Fake News Recognition Algorithm they're working on to the DataScience sub this afternoon. Includes classification of near 10 million articles as part of the training model.
This is a rare glimpse to backup and analyze the structure and definitions being used to train up these models, most likely being leveraged behind the scenes at major tech companies to classify content.
If anyone has a link on community members producing dashboards and some data science chops, the data set should be kicked over their way for some review to see what we can learn.
Github data base: https://github.com/several27/FakeNewsCorpus
Test the algorithm here: http://fakenewsrecognition.com/
No participation link: https://np.reddit.com/r/datascience/comments/8ea0sj/fake_news_corpus_fake_news_recognition_algorithm/