Academics at UCL and other institutions have collaborated to develop a machine learning tool that identifies new domains created to promote false information so that they can be stopped before fake news can be spread through social media and online channels. To counter the proliferation of false information it is important to move fast, before the creators of the information begin to post and broadcast false information across multiple channels. Anil R. Doshi, Assistant Professor for the UCL School of Management, and his fellow academics set out to develop an early detection system to highlight domains that were most likely to be bad actors. Details contained in the registration information, for example, whether the registering party is kept private, are used to identify the sites. Doshi commented: "Many models that predict false information use the content of articles or behaviours on social media channels to make their predictions. By the time that data is available, it may be too late. These producers are nimble and we need a way to identify them early. "By using domain registration data, we can provide an early warning system using data that is arguably difficult for the actors to manipulate.