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How the News Feed Algorithms Work on Facebook, Twitter, & Instagram
By: Hubspot
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You're connected with hundreds of people -- maybe even thousands -- on Facebook, Twitter, and Instagram. But when you log in to each of these social networks, it's likely that you don't want to be bombarded by every single update from every single connection. That'd be pretty overwhelming, wouldn't it?

That's how the folks from each of these social networks feel -- and they've done a ton of user research to validate that feeling. In fact, that's exactly why the news feeds -- and the algorithms behind them -- exist.

All three of today's most popular social networks have gravitated toward an algorithm-based feed in the effort to create better experiences for their users. It started with Facebook in 2006, and then Twitter nine years later in 2015. In the coming months, Instagram will join the other two in switching from a chronological feed to an algorithm-based feed, too, according to an official announcement.

Trouble is, each algorithm works differently. What's worse, they're constantly changing, making it hard for marketers like us to keep up. To help get it all straight, we've put together this simple guide on how the news feed works on the three most popular social networks: Facebook, Twitter, and Instagram. Let's dive in. 

(Note: Keep in mind that the algorithms are constantly changing. We'll continue to write about major social algorithm changes as they happen.)

Facebook's News Feed Algorithm

“Our goal is to build the perfect personalized newspaper for every person in the world,” Facebook CEO Mark Zuckerberg said in a public Q&A in 2014. “We’re trying to personalize it and show you the stuff that’s going to be most interesting to you.”

That's what Facebook's News Feed has been about since the very beginning.According to Zuckerbergeach of us gets exposed to more than 1,500 stories each day, but an average user only gets to see about 100 stories a day on their News Feed.

To give these users the best experience possible, Zuckerberg and his team of engineers are constantly learning user behavior and picking up signals that show what kind of content each user is most interested in. (And if you're curious to learn more, read this blog post for 20 fascinating things you probably didn't know about Facebook's News Feed.)


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This article was published on Hubspot. A link to the original article can be found after the post. www.blog.hubspot.com
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