Catching fake / spamming / abusive users on social media. People are (rightfully) upset by the amount of spam and harassment happening on platforms like Twitte

Catching fake / spamming / abusive users on social media. People are (rightfully) upset by the amount of spam and harassment happening on platforms like Twitter. Machine learning is a good way to tackle this problem at scale, in an automated way, by training models to spot and auto-moderate bad posts. Under GDPR, anyone can demand an explanation for why they were marked as spam / abusive. This will allow trolls and spammers to improve their workarounds, by demanding an explanation for why their posts were blocked, then tailoring their later posts to avoid these signifiers. It will also let them impose a tax on platforms that try to block them by flooding them with demands for explanations under GDPR.