Understanding User Perceptions in Recommendation Systems

This chapter examines user perceptions of recommendation systems, particularly focusing on high school students’ interactions with biased and failed recommendations. It highlights the complexities of these systems on social media, revealing how algorithms can inadvertently lead to dissatisfaction and polarization, while stressing the need for thoughtful design strategies that prioritize user well-being. The discussion also touches on the importance of transparency and the evolving landscape of recommender systems, with an emphasis on balancing financial goals and user trust.