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

Marciniak, Daniel

Abstract

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.

Citation

Marciniak, D. (2016). Computational text analysis: Thoughts on the contingencies of an evolving method. Big Data and Society, 3(2), https://doi.org/10.1177/2053951716670190

• 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
• DOI: https://doi.org/10.1177/2053951716670190
• Public URL: https://hull-repository.worktribe.com/output/4331504