以下文字都是从Facebook官方发布的原文中摘录的，从官方的策略中，我们可以知道他们会在哪些地方着手，进行哪些分析判定，从而找到对应的解决和规避方案。同时我们也可以预判哪些地方是会触发审核或者导致死号，进而优化广告方案和上广告的策略。
these signals are to help determine whether a post might be clickbait, false news, or other types of inauthentic content.
in the US, the signals for false news include things like whether the post is being shared by a Page that’s spread a lot of false news before,
whether the comments on the post include phrases that indicate readers don’t believe the content is true,
whether someone in the community has marked the post as false news.
Facebook uses a machine learning classifier to compile all of those misinformation signals and — by comparing a given post to past examples of false news
we consider if a post about health exaggerates or misleads — for example, making a sensational claim about a miracle cure.
we consider if a post promotes a product or service based on a health-related claim — for example, promoting a medication or pill claiming to help you lose weight.
Here are six examples Facebook cited as using watchbait:
His Reaction Was Priceless!! 😂😂
THIS IS THE WORST WAY TO WAKE UP!! 😂
And then his GF did this!!!
Absolutely mind-blowing details in the latest recipe from Kai!
Your bestie just sent a crazy message to your girlfriend! 😰😰😰
SHOCKING weather phenomenon could explode your plans!!!
