Adapted from EdgeRank is Dead on Marketing Land.
Thought you knew everything about EdgeRank and how Facebook decides to populate your news feed? Well, it’s time for an update.
Facebook began employing a more complex ranking algorithm based on machine learning. It turns out that the new ranking scheme has as many as “100,000 individual weights in the model that produces News Feed.” The three original EdgeRank elements — Affinity, Weight and Time Decay — are still important but as are other new “things.”
In other words, the News Feed algorithm of today is much more sophisticated than just a couple years ago.
In The Beginning…
Facebook’s News Feed was born in September 2006, promising to provide “a personalized list of news stories throughout the day, so you’ll know when Mark adds Britney Spears to his Favorites or when your crush is single again.”
With the launch of News Feed, Facebook wanted to show users the most important content from their social network without making
them click to visit their friends’ profiles. And it had to figure out a way to decide what was important to each person.
“In the beginning, News Feed ranking was turning knobs,” said Facebook VP of Product Chris Cox during Facebook’s recent News Feed media event. “Turn up photos a little bit, turn down platform stories a little bit.”
From Knobs To EdgeRank
Facebook has obviously grown up a lot since then, particularly with the simultaneous launch of Facebook Ads and Pages in November 2007.
Businesses, clubs, and organizations began creating Facebook Pages and using them to try to reach existing and new fans. That meant more content and more chances for users’ News Feeds to get crowded and unwieldy.
The company advanced from “turning knobs” to EdgeRank, the algorithm that a) determined which of the thousands of stories (or “edges” as Facebook called them) qualified to show up in a user’s News Feed, and b) ranked them for display purposes. EdgeRank had three primary pieces:
- Affinity — i.e., how close is the relationship between the user and the content/source?
- Weight — i.e., what type of action was taken on the content?
- Decay — i.e., how recent/current is the content?
EdgeRank made it possible for Facebook to give users a more personalized NewsFeed. Users that played a lot of games on Facebook could see more game-related content in their News Feed. Users that took part in a lot of Group discussions would see more content like that.
Life after EdgeRank…
With EdgeRank, the way you used Facebook largely determined what showed up in your News Feed. Now it’s a bit more complicated.
Consider that there are more than a billion people using Facebook each month. And 128 million in the U.S. that use Facebook every day. They’re using dozens of different mobile devices with different capabilities for displaying content. There are 18 million Pages, many of which are actively looking for attention and a way to show up the News Feed as often as possible.
With all of that going on, Facebook says that the typical user has about 1,500 stories that could show in the News Feed on every visit.
So how does Facebook decide what users see, and what content from Facebook Pages make it into the News Feed?
Facebook is attempting to measure how close each user is to friends and Pages, but that measurement isn’t just based on personal interactions. Facebook looks at global interactions, too, and those can outweigh personal interactions if the signal is strong enough.
Another factor is the relationship settings that Facebook users can apply. With each friend, you can go a step further and label the person a “close friend” or “acquaintance.” With liked Pages, users can choose to “Get notifications” or “Receive updates,” and there are deeper settings to control what kind of content the user wants to see.
The News Feed algorithm takes into account the type of posts that each user tends to like. Users that often interact with photo posts are more likely to see more photo posts in the News Feed, and users that tend to click more on links will see more posts with links.
In other words, Facebook Page owners that continually publish one type of post are likely not having those posts seen by fans that interact with other types of posts.
Hide Post / Spam Reporting
News Feed visibility can also be impacted by users’ ability to hide posts or mark them as spam. But it’s not as simple as having a set threshold that will cause posts to stop showing in users’ News Feeds.
Clicking On Ads, Viewing Other Timelines
The News Feed algorithm is completely separate from the algorithm that decides what ads to show, when to show ads, and where to show them. But how a user interacts with Facebook ads can influence what shows in the News Feed.
“Nothing is off the table when we’re looking at what we should show users,” Backstrom says. “It can be clicking on ads or looking at other timelines. It doesn’t have to be just what the user interacts with in the News Feed.”
Device & Technical Considerations
Yep, the News Feed algorithm even considers what device is being used and things like the speed of a user’s internet connection when deciding what to show.
“The technical limitations of some old feature phones make it impossible to show some content,” Backstrom. “We also know that some content doesn’t perform as well with Facebook users on certain devices. And if the user has a slow internet connection, we may show more text updates. We’re trying to show users content that they’ll find interesting and want to interact with.”
Story Bumping & Last Actor
Don’t forget these two changes that Facebook recently announced. Story Bumping bends the “decay” rules by giving older, unseen posts a second chance at News Feed visibility if they’re still getting interaction.
Last Actor puts a premium on recency. Facebook is tracking a user’s most recent 50 interactions and giving them more weight when deciding what to show in the News Feed. This works on a rolling basis, so the value of an interaction will decline after the user has made 50 more recent interactions.
EdgeRank, as we knew it, is a thing of the past, and it’s been replaced by a machine learning-based algorithm that is quite complicated.
That poses new challenges for brands and marketers hoping to get attention on Facebook, but the company says its advice to Page owners and others is the same:
Create and publish and a variety of interesting content that will attract shares, comments, likes and clicks.
That requires understanding your Facebook fans — from the types of posts they interact with to the different devices they might be using when they’re on Facebook. Keep an eye on the new Facebook for Business news page because the company has promised to be more open in the future about changes that affect how the News Feed works.