Submitted platform Facebook has a bunch of new features that give users greater control over their feed, including an easier way to turn off the feed’s mathematical order and display the content in the order it was published.
The changes depend on previous adjustments to the feed’s functionality, and last October, Facebook introduced a favorite tool that allows users to select up to thirty friends and pages, and prioritize their content or view them in a separate feed.
The company also offers users the option to sort the feed by most recent, but it hides these options in obscure lists.
Facebook is now working to make these filters more prominent, placing them at the top of the feed as separate tabs that users can switch between.
This filter bar is being launched globally on the Facebook app for Android today, and will be available on iOS in the coming weeks, and it is not clear if it will be available via the web version of Facebook.
A caveat is that this filter bar is not a permanent addition to the Facebook user interface, so it disappears if users haven’t accessed the favorite tool for seven days.
They then have to find the favorites through the feed’s preferences menu and the filter bar returns, and likewise, the newer tab also disappears if it is not accessed regularly.
In addition to the filter bar, Facebook introduced a new tool that allows users to specify who can comment on their posts (this can be limited to friends or just to refer to people and pages) and expand the content covered by the Why am I seeing this?
This tool was introduced in April and allows users to click on posts suggested by Facebook’s algorithms to find out why they were recommended.
These explanations now cover suggested posts from pages or people that users don’t follow, showing how topics related to the posts, interactions, and site led to their suggestion.
Although these changes are relatively minor, they generally give people more control over Facebook’s often opaque algorithms.
The changes indicate that the world’s largest social network is eager to divert criticism from the choices its algorithmic systems make.