Researchers at Stanford and Princeton universities have concluded that 72 percent of users can be identified by comparing their web-browsing history to information publicly available on social media. The project managed to point out identities of 374 sets of anonymous browsing histories by following the connections between links shared on Twitter and the likelihood a user would favor personal recommendations over abstract web browsing. This is worrying because while history is not directly accessible to sites, data brokers can compile them via cookies and potentially conduct reidentification.