Research Online

Logo

Goldsmiths - University of London

Semantic mapping of discourse and activity, using Habermas’s theory of communicative action to analyze process

Murtagh, Fionn; Pianosi, Monica and Bull, Richard. 2016. Semantic mapping of discourse and activity, using Habermas’s theory of communicative action to analyze process. Quality and Quantity, 50(4), pp. 1675-1694. ISSN 0033-5177 [Article]

[img]
Preview
Text
impact-from-communicative-action-v9.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview

Abstract or Description

Our primary objective is evaluation of quality of process. This is addressed through semantic mapping of process. We note how this is complementary to the primacy of output results or products. We use goal-oriented discourse as a case study. We draw benefit from how social and political theorist, Jürgen Habermas, uses what was termed “communicative action”. An orientation in Habermas’s work, that we use, is analysis of communication or discourse. For this, we take Twitter social media. In our case study, we map the discourse semantically, using the correspondence analysis platform for such latent semantic analysis. This permits qualitative and quantitative analytics. Our case study is a set of eight carefully planned Twitter campaigns relating to environmental issues. The aim of these campaigns was to increase environmental awareness and behaviour. Each campaign was launched by an initiating tweet. Using the data gathered in these Twitter campaigns, we sought to map them, and hence to track the flow of the Twitter discourse. This mapping was achieved through semantic embedding. The semantic distance between an initiating act and the aggregate semantic outcome is used as a measure of process effectiveness.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1007/s11135-015-0228-7

Keywords:

Correspondence analysis. Semantics, Multivariate data analysis, Text analysis, Visualization, Social media

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
1 July 2016Published
2 June 2016Published Online
24 May 2015Accepted

Item ID:

18602

Date Deposited:

20 Jun 2016 07:00

Last Modified:

09 Jul 2018 16:41

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

http://research.gold.ac.uk/id/eprint/18602

View statistics for this item...

Edit Record Edit Record (login required)