Incorporating Procedural Fairness in Flag Submissions on Social Media Platforms
Abstract
Flagging mechanisms on social media platforms allow users to report inappropriate posts/accounts for review by content moderators. These reports are pivotal to platforms’ efforts toward regulating norm violations. This article examines how platforms’ design choices in implementing flagging mechanisms influence flaggers’ perceptions of content moderation. We conducted a survey experiment asking US respondents ( N =2,936) to flag inappropriate posts using one of 54 randomly assigned flagging implementations. After flagging, participants rated their fairness perceptions of the flag submission process along the dimensions of consistency, transparency, and voice (agency). We found that participants perceived greater transparency when flagging interfaces included community guidelines and greater voice when they incorporated a text box for open-ended feedback. Our qualitative analysis of open-ended responses highlights user needs for improved accessibility, educational support for reporting, and protections against false flags. We offer design recommendations for building fairer flagging systems without exacerbating the cognitive burden of submitting flags.
Fields of Study & Subjects
Hate Speech and Cyberbullying Detection
Misinformation and Its Impacts
Social Media and Politics
Publication details
- Journal / source
- ACM Transactions on Social Computing
- Publisher
- Association for Computing Machinery (ACM)
- Volume
- 9
- Issue
- 1
- Pages
- 1–40
- Publication date
- 21 February 2026
- Language
- EN