TY  - JOUR
A1  - Marciniak, Daniel
T1  - Computational text analysis: thoughts on the contingencies of an evolving method
T2  - Big Data & Society
N2  - 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.
KW  - Topic modelling
KW  - science and technology studies
KW  - text analysis
KW  - Big Data
KW  - network analysis
KW  - visualisation
Y1  - 2016
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/42230
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-422306
N1  - Creative Commons Non Commercial CC-BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) 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 (https://us.sagepub.com/en-us/nam/open-access-at-sage).
VL  - 2016
IS  - July–December
SP  - 1
EP  - 5
PB  - Sage
CY  - Thousand Oaks, Calif.
ER  -