”One drawback to the Iowa researchers' method was its rate of false positives: They admit that about six percent of the apps their detection method flags as mal

”One drawback to the Iowa researchers' method was its rate of false positives: They admit that about six percent of the apps their detection method flags as malicious are in fact benign. But they argue that false positive rate is low enough that Twitter could assign human staffers to review their algorithm's results and catch mistakes. ” If I understand right, out of 460k apps 170k were malicious. That should lead to quite many manual reviews, if you don’t trust the algorithm. Also I’m not sure if this would a task where humans are any better. At these numbers 6% is quite much in absolute terms. That would mean quite many legitimate apps getting blocked (unless I’m missing something here).