Computational text analysis: thoughts on the contingencies of an evolving method

  • Mapping a public discourse with the tools of computational text analysis comes with many contingencies in the areas of corpus curation, data processing and analysis, and visualisation. However, the complexity of algorithmic assemblies and the beauty of resulting images give the impression of ‘objectivity’. Instead of concealing uncertainties and artefacts in order to tell a coherent and all-encompassing story, retaining the variety of alternative assemblies may actually strengthen the method. By utilising the mobility of digital devices, we could create mutable mobiles that allow access to our laboratories and enable challenging rearrangements and interpretations.

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Author:Daniel Marciniak
Parent Title (German):Big Data & Society
Place of publication:Thousand Oaks, Calif.
Document Type:Article
Date of Publication (online):2016/11/25
Year of first Publication:2016
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2016/11/25
Tag:Big Data; Topic modelling; network analysis; science and technology studies; text analysis; visualisation
Page Number:5
First Page:1
Last Page:5
Creative Commons Non Commercial CC-BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License ( which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (
Institutes:Gesellschaftswissenschaften / Gesellschaftswissenschaften
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell 3.0