
Bridging Adaptive Algorithms and the Public Good
Human Centered
00:00
Navigating the Algorithmic Landscape
This chapter explores the challenges researchers face in accessing data from major social media platforms post-acquisition. It examines the implications of algorithm design on societal behaviors, the complexities of content moderation, and the biases inherent in machine learning systems. Additionally, it underscores the importance of independent research funding and community science initiatives to foster accountability and transparency in the tech industry.
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