Notes

• https://www.technologyreview.com/s/615313/how-facebook-uses-machine-learning-to-detect-fake-accounts/ The system starts by using a large number of low-precision machine-generated labels. These are generated through a mix of rules and other machine-learning models that estimate whether users are real or fake. Once that data is used to train a neural network, the model is then fine-tuned with a small batch of high-precision hand-labeled data, generated by people around the world who have an understanding of local cultural norms.