Whilst Facebook may hold the grand title of being the largest social media platform on the Internet, it also has a large volume of junk posts and extra content floating around undetected by its system. Facebook’s latest plan to step forward is by cutting down on “engagement bait” posts – “Like if you agree”.
With these forceful phrases, engagement pages can easily appear in other Newsfeeds, as fellow friends and colleagues engage with their post; taking their bait. By “liking if they agree” or “sharing to remind a friend” they are expanding the reach of that page and post, which is exactly what the page owner wants. But this will go on no more as the volume of this sort of content, is most certainly set to decrease, with Facebook’s new actions!
Facebook has just announced that page owners who indulge in such activity will be penalised. This sort of activity goes under the name of “engagement bait” where posts force users to interact in certain ways. This is through comments, likes and shares. People are enticed to engage by seeing the desirable criteria such as “free trips” or “follow backs”. This overall boosts the visibility of the content, however, not everyone might find these posts pleasant on their timeline.
Facebook has tackled this issue head-on, by tweaking their timeline algorithm. They’ve made sure “engagement bait” offenders will have the reach on their posts reduced. This is backed by a sort of A.I model, which can learn by itself. It’s been fed “hundreds of thousands of posts” which will aid it in punishing the offenders of engagement baiting.
On the other hand, the algorithm does recognise genuine requests for shares, where they are needed. This means in cases of tips, missing animals or people, or even to participate in local genuine charity events. The algorithm does not clamp down on these posts, as it is not negative in any shape or form.
Overall, it is surprising to see a huge company like Facebook, clean up their system to make a better social media platform for its current and new users. Whilst questions may be posed about how this will affect pages and new tactics, I only have one question: can we really trust a machine-learning algorithm to perform this task by itself after the disaster of Microsoft’s AI Chatbot on Twitter?
Source: | Facebook |
Via: | TechCrunch |