Abstract
This paper addresses the question of information filtering through the historical notion of mechanical reasoning and follows its "commercial" or "statistical" strand to the contemporary technique of Bayesian filtering. It discusses how the investigation of concrete techniques in computer and information science can lead to a deeper understanding of their cultural and political relevance.
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