Optimizing the news feed

Abstract

This article focuses on the issue of social media news feeds and how they should be optimized. The author argues that this has become a complex problem due to the large amount of content available. The article suggests splitting the problem into two parts. The first part is deciding what to optimize for – what is the goal of the news feed? The author suggests optimizing for what will be best for society as a whole. The second part of the problem is figuring out which policies or algorithms will lead to the desired result. The author suggests using machine learning to help with this. The article also discusses the issue of clickbait and fake news, and how to find the right balance between giving users what they want and helping them find more meaningful content. – AI-generated abstract.