Facebook testing new label to identify common things between you and strangersAug 25 (AZINS) If the scary data collection was not enough, Facebook is now testing a new label called 'things in common', which, as the name suggests, will show you what you share with random people on the social platform.

The label will show up in some comments on a public conversation. This is how it will work. For instance, you are commenting on a celebrity's public post and there are comments from people who are not in your friend list. You will see a label that says, 'You both went to the University of Virginia', or that you are both from Phoenix, Cnet reported.

The label will also show if you are part of the same Facebook group, or if you work for the same company. The information will be shown for those who are not your Facebook friends. The feature is one of Facebook's latest efforts at connecting people on its platform and initiating conversations by finding things in common. It is currently a limited small-scale test in the US and it is unclear if it will become a full-fledged feature in the coming days.

Reports suggest that creators of fake accounts and news pages on Facebook are learning from their past mistakes and making themselves harder to track and identify, posing new challenges in preventing the platform from being used for political misinformation, cyber security experts say. This was apparent as Facebook tried to determine who created pages it said were aimed at sowing dissension among U.S. voters ahead of congressional elections in November. The company said it had removed 32 fake pages and accounts from Facebook and Instagram involved in what it called "coordinated inauthentic behavior."

While the United States improves its efforts to monitor and root out such intrusions, the intruders keep getting better at it, said cyber security experts interviewed over the past two days. Ben Nimmo, a senior fellow at the Washington-based Digital Forensic Research Lab, said he had noticed the latest pages used less original language, rather cribbing from copy already on the internet.