Facebook splits the Feed on iOS and Android into TikTok-style Home, with recommended content, and Feeds, a chronological feed of pages and people users follow
While new Feeds tab will show chronological content from pages you actually follow — Facebook's almighty News Feed is getting split in two... kind of.
Context & Ripple Effects
Facebook had already tested a tabbed mobile News Feed and, months before this change, dropped “News” from the Feed name. The split turns that earlier interface work into a clearer division between discovery and updates from accounts people chose to follow.
The design also places Facebook in an emerging feed-format contest: Instagram had introduced separate Following and Favorites views, while Twitter later made its algorithmic Home view the default alongside Following.
First-order effects
- Facebook users on iOS and Android get a dedicated chronological Feeds tab for followed people and pages, while Home becomes the recommendation-led entry point.
- Facebook can concentrate recommended content in Home without removing a follow-based viewing option for users who want it.
Second-order effects
- Instagram and Twitter face a sharper comparison over whether chronological following views are prominent alternatives or subordinate to algorithmic defaults; Twitter's Home and Following rename made that trade-off explicit.
- Publishers and page operators gain a clearer route to followers through Feeds, but reach beyond their existing audience is increasingly tied to Facebook's recommendations in Home.
Third-order effects
- If platforms retain chronological tabs while opening on recommendation-driven views, the follow graph becomes a retention feature rather than the primary mechanism for distributing content.
- The later shift by Twitch to a recommendation-first mobile landing feed suggests the two-layer model—algorithmic discovery plus an explicit following view—is spreading beyond Facebook's social network.
The trend: Consumer platforms are separating recommendation-led discovery from chronological following while giving the algorithmic experience the more prominent position.