Auditing LLMs and Twitter
Data Skeptic
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Investigating Shadow Banning on Twitter
This chapter delves into the implications of shadow banning on Twitter, analyzing a comprehensive study of approximately 5 million user profiles to uncover biases in shadow banning practices. The discussion emphasizes the importance of data-driven analysis to explore the origins, detection methods, and nuances of shadow banning, which often goes unreported and misunderstood. It also highlights the challenges researchers face when studying user interactions on the platform, particularly amid changing data policies.
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