Cute kittens, high school friends’ wedding photos, inspirational quotes and political endorsements are just a few of the things that may – or may not – pop up on your Facebook news feed if you’re one of the site’s billion-plus users. But how does it all get there? And what happens to the stuff that doesn’t make the cut? Slate’s senior technology writer Will Oremus takes you on a journey through Facebook’s Menlo Park campus, where machines learn their most valuable lessons from – who would have guessed it? – humans. So if you’re curious about why you seem to see so many photos of your great-aunt Dottie’s new puppy on Facebook, getAbstract recommends reading this useful explanation of the inner workings of the site’s news feed.
In this summary, you will learn
- How Facebook’s news feed works,
- What limitations machine learning must overcome and
- How Facebook leverages human feedback to improve its “prediction algorithm.”
About the Author
Will Oremus is a senior technology writer at Slate. He writes on technology policy, emerging tech and digital culture.