Examining Meta: How Algorithms Determine User

This episode examines how algorithmic feed curation may shape competition by influencing which content users see. We investigate the criteria platforms use to determine the content that appears in a user's feed, its prominence, and its recommendation to new users. By looking at the relationship between feed placement and user engagement, we analyze the feedback loop where engagement outcomes influence future ranking decisions. Ultimately, we ask a critical question: should platform operators be permitted to influence how user attention is allocated among competing content providers?Visit this link for a complete article and graphic analysis of this case: This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit blog.econworks.com/subscribe