25min chapter

Machine Learning Street Talk (MLST) cover image

Kenneth Stanley created a new social network based on serendipity and divergence

Machine Learning Street Talk (MLST)

CHAPTER

Balancing User Engagement and Quality Standards in Social Network Design

The chapter explores the decision-making process for the presentation format of a social media network, weighing the choice between a pick breeder view and a text-based format. It emphasizes the importance of showcasing diverse content while maintaining user engagement and quality standards. Through discussions on user experience, topology, self-affirmation, and cold start problems, the chapter delves into the challenges and strategies of creating a new social network in a landscape dominated by established platforms.

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