#facebook clickbait

Facebook has announced that they have developed a new machine learning model that can detect posts that use engagement bait tactics, such as those that ask for likes, shares, comments, etc. In line with one of their "key News Feed values", which is authenticity, Facebook has warned owners and admins of pages that continuing to use these types of engagement bait tactics will merit a decrease in the reach of their posts. Facebook will be rolling out the post-demotion model over the coming weeks. Facebook has announced that it is rolling out new updates to eliminate clickbait headlines in users' news feeds. Facebook has already implemented measures to reduce clickbait headlines in the News Feed in 2016. The new updates build on those so users will see even fewer clickbait stories, and more of the stories they find authentic: • First, we are now taking into account clickbait at the individual post level in addition to the domain and Page level, in order to more precisely reduce clickbait headlines. According to Facebook, clickbait headlines are headlines that withhold information and intentionally leave out crucial details or mislead people, forcing them to click to find out the answer. With the new implementation, posts with clickbait headlines will appear lower in News Feed. Read more in our articles including "Facebook to demote posts that bait engagement" and "Facebook rolls out new updates to fight clickbait headlines".