"Maximizing the chances that users will click, like, share, and view content this week, this month, and this quarter aligns well with the business interests of tech platforms monetized through advertising." Faculty Associates Arvind Narayanan and Elissa Redmiles, along with Affiliates Aviv Ovadya and Nathaniel Lubin, contribute to a roadmap for designing recommender systems that prioritize long-term user well-being over short-term engagement.
Read more in Better Feeds: Algorithms That Put People First by the Knight-Georgetown Institute.