Even though Facebook’s battle against hoaxes, fake news and spammers will not end soon, the company is trying its level best in order to keep the pressure on bad actors on its network. A number of new measures including machine learning would be used to identify the hoax articles which are being copied and pasted by the different accounts.

This is not the first time that Facebook has announced the use of AI to spot misleading content and it is very clear that the company exaggerates using the power of AI in order to differentiate good content from bad. The organization does take small and sensible steps in applying technology. Machine learning cannot conduct fact checking by itself or make judgment about nuanced headlines but it is capable of recognizing easily identifiable signals which suggest that an account is of no use.

With the help of machine learning, duplicate or debunked stories can be identified. With the help of this technology 20 domains and 1400 links can be identified. Facebook product manager Tessa Lyons mentioned that its filters are trying to predict the pages which most likely would share bad content. The pages which have admins living in one country and targeting the audience of another are included in the list. The admins who have suspicious accounts which are not fake are identified in the system as well.

Lyons admitted that it was possible that the automated systems might target legitimate sites by accident but she claimed that the company was satisfied with the results. The technology is used to reduce the distribution and ability to monetize of the fake pages and sites. Facebook also plans to work with third-party checkers who would be checking individuals posts and videos which are out of context.