X Updates Algorithm to Prioritize Posts from Followed Accounts

X has rolled out a significant update to its content ranking algorithm, specifically designed to increase visibility of posts from accounts that users actively follow. The change, announced by X's Head of Product Nikita Bier, aims to address what many consider a fundamental flaw in modern social media platforms—the decreasing prominence of content from profiles users explicitly chose to follow.

The Core Algorithm Shift

According to Bier's official statement: "We're rolling out a small tweak to boost visibility of your posts to your mutuals (people who you follow back). We noticed this data was missing from the algo and it made your friends appear less in your replies. This resulted in the reply section feeling more like a battleground with people you don't recognize."

The update specifically targets three key areas:

1. Increased visibility for posts from mutual followers
2. Reduced prominence of algorithmic recommendations in reply threads
3. Better formation of interest-based conversation clusters

Why This Matters Now

While this might seem like basic functionality—showing users content from accounts they follow—data analyzed by like.tg shows that most major platforms have gradually shifted toward behavior-based algorithmic recommendations. Modern social feeds prioritize content that drives engagement, often at the expense of posts from followed accounts.

This creates several user experience issues:

• Important updates from friends and followed accounts get buried
• Reply sections become dominated by strangers rather than mutual connections
• Users miss content they've explicitly signaled interest in by following accounts

The Engagement Algorithm Paradox

Platforms face a fundamental tension between two approaches:

1. Explicit preferences (who users follow)
2. Implicit behaviors (what content users engage with)

Research indicates platforms typically see higher engagement when prioritizing the latter. However, this often comes at the cost of user satisfaction, as people increasingly report missing updates from accounts they care about most.

What Changes for X Users

The immediate impacts of this update include:

• More posts from mutual followers appearing in feeds and replies
• Reduced algorithmic "noise" from unfamiliar accounts in conversations
• Better visibility for niche communities and interest groups

As Bier noted, this should help "clusters form around interests more easily," addressing a frequent user request for more cohesive community interactions.

The Bigger Picture

This update reflects a growing recognition among platforms that pure engagement optimization can degrade core user experiences. While algorithmic recommendations drive short-term metrics, they often undermine the fundamental social connections that keep users loyal long-term.

X's move represents an interesting test case—whether platforms can successfully balance algorithmic recommendations with explicit user preferences. Early reactions suggest many users welcome the change, though its full impact on engagement metrics remains to be seen.