Toward a computational hermeneutics

John W. Mohr, Robin Wagner-Pacifici, Ronald L. Breiger

Research output: Contribution to journalComment/debatepeer-review

16 Scopus citations

Abstract

We describe some of the ways that the field of content analysis is being transformed in an Era of Big Data. We argue that content analysis, from its beginning, has been concerned with extracting the main meanings of a text and mapping those meanings onto the space of a textual corpus. In contrast, we suggest that the emergence of new styles of text mining tools is creating an opportunity to develop a different kind of content analysis that we describe as a computational hermeneutics. Here the goal is to go beyond a mapping of the main meaning of a text to mimic the kinds of questions and concerns that have traditionally been the focus of a hermeneutically grounded close reading, a reading that focuses on what Kenneth Burke described as the poetic meanings of a text. We illustrate this approach by referring to our own work concerning the rhetorical character of US National Security Strategy documents.

Original languageEnglish (US)
JournalBig Data and Society
Volume2
Issue number2
DOIs
StatePublished - 2015

Keywords

  • Big Data
  • Hermeneutics
  • Kenneth Burke
  • National Security
  • close reading
  • content analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Communication
  • Library and Information Sciences

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