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Title:Theorizing Research Practices We Forgot to Theorize Twenty Years Ago
Author(s):Underwood, Ted
Subject(s):search, historicism, research practices, data mining, topic modeling, machine learning, text mining, epistemology
Abstract:Algorithmic mining of large electronic databases has been quietly central to the humanities for two decades. We call this practice “search,” but “search” is a deceptively modest name for a complex quantitative technology that scholars use to test hypotheses and filter evidence. Although the fields of data mining and machine learning are widely framed as novel "tools," they might better be understood as a philosophical discourse that can help humanists think more rigorously and creatively about interpretive problems we already solve with algorithms.
Issue Date:2014
Citation Info:Preprint for publication in a special forum on "search" to appear later in 2014 in the journal Representations.
Genre:Article
Type:Text
URI:http://hdl.handle.net/2142/48906
Publication Status:published or submitted for publication
Peer Reviewed:is peer reviewed
Date Available in IDEALS:2014-04-17


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