2021/03/31 by Rahul Makhijani, Parikshit Shah, Makhijani, Rahul +9 · 1 citation
Computer Science · Health Professions · #FOS: Computer and information sciences #Healthcare Operations and Scheduling Optimization #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Spreadsheets and End-User Computing
paper · pdf · doi:10.48550/arxiv.2103.16816
openalex publication_date 2021/03/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Moderating content in social media platforms is a formidable challenge due to the unprecedented scale of such systems, which typically handle billions of posts per day. Some of the largest platforms such as Facebook blend machine learning with manual review of platform content by thousands of reviewers. Operating a large-scale human review system poses interesting and challenging methodological questions that can be addressed with operations research techniques. We investigate the problem of optimally operating such a review system at scale using ideas from queueing theory and simulation.