Probability at Work: Information Filtering as Technique

16 Pages Posted: 1 Nov 2014  

Bernhard Rieder

University of Amsterdam

Date Written: October 1, 2012

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.

Keywords: information filtering, mechanical reasoning, Bayesian filtering, software studies

Suggested Citation

Rieder, Bernhard, Probability at Work: Information Filtering as Technique (October 1, 2012). Available at SSRN: https://ssrn.com/abstract=2517272 or http://dx.doi.org/10.2139/ssrn.2517272

Bernhard Rieder (Contact Author)

University of Amsterdam ( email )

Spui 21
Amsterdam, 1018 WB
Netherlands

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