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You Can Now Just Tell Facebook What You Want to See in News Feed

Facebook has come up with a new, simple approach to determine what you want to see at the top of your News Feed: It's going to ask you.  —  The social network, which is known for its ever-evolving News Feed algorithm …

Re/code Kurt Wagner

Context & Ripple Effects

This launch is the productization of a two-month-old experiment: after testing a feature letting users pick Pages and friends to pin atop their News Feed in May, Facebook shipped the controls for iOS the same summer, with desktop and Android to follow. It marks a deliberate shift in how the company tunes its ranking system — supplementing behavioral signals with explicit user input.

First-order effects

  • iOS users gain direct levers over which friends and Pages surface at the top of their feed, reducing Facebook's sole reliance on inferred engagement signals for that placement.
  • Pages whose reach depends on algorithmic distribution face a new variable: users can now explicitly elevate competitors or demote them with a single selection.

Second-order effects

  • Facebook's ranking team gains a labeled preference dataset from these choices — explicit signals that later fed iterations like prioritizing time spent on content rather than raw clicks or reactions.
  • Publishers and brands have to account for user-curated placement on top of algorithmic reach, making feed visibility less purely a function of engagement optimization.

Third-order effects

  • Explicit user controls become a recurring template in Facebook's feed governance — extended by the 'Why am I seeing this post?' explanations in 2019 — as the platform shifts toward justifying and sharing ranking decisions with users.
  • If curation controls keep expanding, distribution power partially migrates from Facebook's ranking engineers back to individual users, pressuring every feed-driven publisher strategy built purely on gaming the algorithm.

The trend: News Feed governance is evolving from a black-box algorithm toward a hybrid of machine ranking and explicit user control, a pattern visible from this first survey-based feature through later transparency tools.