Instead of just looking at an account’s posting history or friend list to determine whether that account is a fake or inauthentic account, look at both the friend list and the post history.
The suggested algorithm works by predicting how likely an account is to be fake or how likely a post is to be hateful by creating a kind of timeline of interactions from the account or with the post, according to the paper. The algorithm breaks each interaction into parts, including who was involved, what kind of interaction took place, and when it took place. The algorithm then tries to match the timeline to past examples of bad behavior.
The research paper also revealed that some of the company’s existing algorithms built to detect fake behavior were laboriously built by hand. ... A deep learning approach would largely allow the algorithm to learn those signals itself.
See the full story here: https://onezero.medium.com/facebook-tested-a-new-a-i-powered-misinformation-detector-months-before-the-election-37c0477f2fa3