Auditing the audits: evaluating methodologies for social media recommender system audits
Abstract Through a simulated Twitter-like platform designed to optimize user engagement and grounded in H-SERIES PARTS authentic behavioral data, this study evaluates methodologies for auditing social media recommender systems.Our analysis focuses on the impact of key parameters in sock-puppet audits, the number of friends and session length, on au