"Recommender systems can 'rabbit-hole' users into a certain type of content. In the world of integrity, this could specifically lead to recommending unsafe content that might lead to high engagement"

Santhosh Vinod: "We're looking for surface integrity representation for AYMF to reduce preference amplification." Dennis ████: "what is preference amplification?" Santhosh Vinod: "Recommender systems can 'rabbit-hole' users into a certain type of content. In the world of integrity, this could specifically lead to recommending unsafe content that might lead to high engagement, however, could result in negative experiences… We can define Preference amplification from multiple angles: 1. Existing users slowly drifting into policy violating content after engaging with borderline content 2. New users who join Instagram are sucked into an echo chamber due to a cold start problem 3. Regulators creating fake insta accounts to emulate teens to showcase Instagram's inactions in integrity enforcement"