
Cracking Algorithmic Recommendation with Nick Seaver
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Navigating Algorithmic Insights
This chapter examines the challenges researchers face when studying algorithmic recommendations in tech companies, notably the 'black box' nature of algorithms and the lack of diversity in the field. It highlights the importance of understanding these systems within a broader sociocultural context, emphasizing human factors and building relationships to gain deeper insights.
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