X publishes code to filter Brazilian election content from recommendation feeds
Source code for a filter applied to the 'For You' timeline has been uploaded to the xai-org GitHub repository, detailing how X will exclude reported profiles from recommendation results ahead of the 2026 election.
Source code for a filter applied to the 'For You' timeline on X has been published on the xai-org GitHub repository. The file, titled brazil_2026_election_filter.rs, implements a list of user IDs reported to the Brazilian Electoral Court for the 2026 election. The filter is designed to exclude content from these reported channels and profiles from recommendation results, in compliance with Brazilian electoral regulations.
The repository contains over 500 obfuscated user IDs and usernames associated with the 2026 Brazilian election. The code explicitly references Brazilian electoral law, specifically section 1 of the relevant article, which requires application providers using recommendation systems to exclude channels and profiles reported to the Electoral Court. The file also includes a link to the Brazilian Electoral Court's open data portal for 2026 election candidates.
Code comments within the Rust file note that user IDs are obfuscated, while usernames are included for transparency. One account, @OmarAzizSenador, is noted in the code comments as having deleted his account at the time the code was written. The implementation appears to be part of the home-mixer filters, targeting the core recommendation engine that drives user engagement on the platform.
It remains unclear if this code is currently active on the live X platform or if it is a draft or proposal for future implementation. The exact scope of the filter, such as whether it applies globally or only to users in Brazil, is not specified in the source text. Additionally, the list of user IDs may not be exhaustive or final, as electoral reports can change as the election cycle progresses.
The publication of this code highlights the increasing intersection of algorithmic transparency and regulatory compliance in social media markets. By open-sourcing components of its recommendation system, X provides a mechanism for external scrutiny of how platform governance interacts with local legal frameworks. This development occurs against a backdrop of heightened regulatory scrutiny on digital platforms globally, with Brazil standing as a significant market for electoral integrity concerns.

