Request a Note: How the Request Function Shapes X's Community Notes System
Preprint, 2025
X's Community Notes is a crowdsourced fact-checking system. To improve its scalability, X recently introduced "Request Community Note" feature, enabling users to solicit fact-checks from contributors on specific posts. Yet, its implications for the system -- what gets checked, by whom, and with what quality -- remain unclear. Using 98,685 requested posts and their associated notes, we evaluate how requests shape the Community Notes system. We find that contributors prioritize posts with higher misleadingness and from authors with greater misinformation exposure, but neglect political content emphasized by requestors. Selection also diverges along partisan lines: contributors more often annotate posts from Republicans, while requestors surface more from Democrats. Although only 12% of posts receive request-fostered notes from top contributors, these notes are rated as more helpful and less polarized than others, partly reflecting top contributors' selective fact-checking of misleading posts. Our findings highlight both the limitations and promise of requests for scaling high-quality community-based fact-checking.
Author
Yuwei Chuai
University of Luxembourg
Shuning Zhang
Tsinghua University
Ziming Wang
Chalmers, Computer Science and Engineering (Chalmers)
University of Luxembourg
Xin Yi
Tsinghua University
Mohsen Mosleh
University of Oxford
Gabriele Lenzini
University of Luxembourg
Subject Categories (SSIF 2025)
Human Computer Interaction
DOI
10.48550/arXiv.2509.09956