Skip to main content

Research Repository

Advanced Search

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

Marciniak, Daniel



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.


Marciniak, D. (2016). Computational text analysis: Thoughts on the contingencies of an evolving method. Big Data and Society, 3(2),

Journal Article Type Article
Online Publication Date Sep 28, 2016
Publication Date Dec 1, 2016
Deposit Date Jul 12, 2023
Publicly Available Date Aug 10, 2023
Journal Big Data and Society
Electronic ISSN 2053-9517
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 3
Issue 2
Public URL


Published article (1.8 Mb)

Publisher Licence URL

Copyright Statement
© The Author(s) 2016.
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 (

You might also like

Downloadable Citations