File photo: A 3D printed Facebook like-button is to see it in front of the Facebook logo, in this picture-October 25, 2017. (REUTERS/dado Ruvic)
Facebook can be used by billions of people, but the content is placed, is not always of the highest quality, and that remains so, even when you discount the fake news on the social network is trying to eradicate. But steps are being taken to improve the contents with the latest focus of the involvement of the ace.”
Facebook Henry Silverman, Operations Integrity Specialist, and Lin Huang, an Engineer, wrote a blog post detailing how many users hate spam messages and how the social network is planning to fight them.
By spam messages, Facebook means that everything that you are trying to goad a user in an interaction, including clicking the Like button, the Share button, or comment. This is referred to as engagement bait, and the perfect example is when a post begins with a sentence such as “if you…” and then used a term that applies to a large percentage of the viewers, such as their zodiac sign. The more people that come in contact with these messages, the higher the involvement and thus the post is located on an artificial involvement to boost the network.
Of course, Facebook wants to take engagement bait by means of automation, so the engineers worked to identify the different types and teach a machine learning model how to find them. It breaks down into five distinct categories: voice, baiting, respond to baiting, share baiting, tag baiting, and comment sections.
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If a message is detected as falling into one of these categories, the chance to appear in a News Feed drops. If such messages appear repeatedly on the Pages, Facebook will lead to “more stringent demotions” and Page-level degradation continue to discourage the practice. At the same time, Facebook promises that all messages really ask for help, will not suffer degradation.
Facebook is the focus in the implementation of this new system is authenticity. Any post that includes content that is deemed to be “spam, sensational or misleading” will suffer. Combine that with Facebook existing degradation rules for clickbait headlines, clickbait phrases, and of low quality, web links and involvement with the ace posting can result in a content never seen.
This article originally appeared on PCMag.com.