X to trial community notes for identifying universally liked posts

X tests Community Notes to highlight widely liked posts across diverse views.

: Elon Musk's X is launching a pilot for Community Notes to identify the most universally liked posts. This system encourages users from different perspectives to weigh in, revealing posts that resonate broadly. It uses a bridging algorithm to ensure diverse agreement rather than mere popularity. Meta's similar approach highlights the move towards crowd-sourced content moderation.

X, under Elon Musk, has begun a pilot experiment using its Community Notes system to highlight posts that receive likes from users with differing ideological perspectives. Unlike its traditional role in fact-checking misinformation, this trial invites a subset of Community Notes contributors to rate posts based on why they like or dislike them, helping identify content that resonates broadly across conflicting viewpoints.

The process works by tracking early likes on a post and flagging those that interest users who typically disagree. Selected contributors are shown callouts to evaluate the post—selecting reasons such as “I learned something interesting” or “I don’t agree but this is useful.” Their feedback will feed into an evolving open-source “bridging algorithm” designed to surface posts appreciated across divides.

X aims to uncover ideas and opinions that transcend usual echo chambers. The initiative is grounded in internal data suggesting that even on controversial issues there’s more cross-perspective agreement than assumed. By spotlighting posts that gather consensus from diverse users, X hopes to foster more constructive discourse on the platform.

This represents a shift in how Community Notes are utilized. Traditionally focused on correcting misleading content, the system now seeks to identify consensus around popular content. That aligns with X’s broader strategy of leveraging community input to enhance algorithmic decision-making and elevate posts that bring people together rather than divide them.

The trial is currently limited to a small, selected group of contributors. Their evaluations will help refine the algorithm before any broader rollout. X describes the project as being built “in public,” echoing how the original Community Notes feature was developed—with transparent, open-source processes and iterative feedback loops.

Sources: TechCrunch, Axios, Adweek

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