X admits its broken algorithm made the site feel like a battleground
Social media platform X has acknowledged that technical flaws in its recommendation algorithm contributed to a contentious environment often described as a battleground. Product lead Nikita Bier confirmed that a lack of data regarding mutual follows led the system to prioritize divisive content over
Nikita Bier, the head of product at X, admitted that the platform's algorithm previously failed to prioritize posts from users who follow each other back. This missing data point meant the system often overlooked personal connections, instead surfacing high-engagement arguments and random content that many users found exhausting.
To address this, X has implemented a technical tweak designed to boost the visibility of posts specifically among mutual followers. The goal of this update is to restore a sense of community by ensuring that interactions with known acquaintances take precedence over the algorithmic spread of viral conflict.
While the update aims to reduce the 'battleground' atmosphere, developers are continuing to monitor how the change impacts overall site engagement. The platform intends for these adjustments to foster healthier social dynamics and more relevant feed experiences for the general user base, according to X.
