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 authentic behavioral data, this study evaluates methodologies for auditing social media recommender systems.Our analysis focuses on the impact of key parameters in Printer Stand sock-puppet audits, the number of friends and session length, on aud